291 Sales Data jobs in Singapore

Responsibilities:

• Preparation for sales planning activities - data consolidation, market analysis, and reporting
• Create dashboards and prepare sales forecast for review
• Proactively follow up on outstanding submissions and documentations
• Be involved in product development for Applied Products
• Identify gaps to propose to team in order to determine course of actions to take
• To establish and maintain orderly filing and documentation
• General administrative support to team
• Perform any other duties as assigned by superior

Requirements:

• Diploma / Degree in Engineering
• Proficient in Microsoft Office - particularly Excel and PowerPoint
• At least 2 years' working experience in similar capacity (data management and analysis, sales planning and product management)
• Knowledge of Power BI/Tableau will be advantageous
• Resourceful, self starter with good interpersonal skills, able to work under pressure and multi- task effectively
• Some travel may be required to Asia Pacific region

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that revolutionizes entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Apple's Channel Sales organization works with the ecosystem of telecom operators and resellers that bring our products to customers around the world. Our teams collaborate with our partners to ensure they deliver the best customer experience when merchandising, demoing and selling Apple products that enrich the lives of hundreds of millions of people. The South-East Asia Channel Sales team seeks an outstanding professional to lead the Data & Insight team. The team enables strategic business decisions by running in-depth data analysis and delivering state-of-the-art analytics and reporting solutions - including both traditional dashboards and scalable AI/ML platforms. The successful candidate will possess a relentless focus on innovation, an eagerness to challenge the status quo, the ability to bridge business and technology and a passion to deliver a best-in-class experience to their internal customers. Can you see yourself doing your life's best work here with us?

Description

* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship * Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML * Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges * Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies * Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region * Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team * Develop partnership with Apple IT team and keep on point on latest in-house technology * Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing * Own and manage portfolio of data management and sales ops processes run by the team

Minimum Qualifications

• Experience in the retail industry
• 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
• Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
• Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
• Experience with AI/ML models and their application in data management and insights generation
• Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
• Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
• Exceptional communication and presentation skills

Preferred Qualifications

• Experience with UI/UX development, including data visualisation design
• Experience with programming/scripting languages, such as Python
  Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus

Submit CV

Sales - Data & Insight Manager, Southeast Asia
Singapore, Singapore Sales and Business Development
Description
* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship* Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML* Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges* Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies* Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region* Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team* Develop partnership with Apple IT team and keep on point on latest in-house technology* Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing* Own and manage portfolio of data management and sales ops processes run by the team
Minimum Qualifications
Experience in the retail industry
12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
Experience with AI/ML models and their application in data management and insights generation
Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
Exceptional communication and presentation skills
Preferred Qualifications
Experience with UI/UX development, including data visualisation design
Experience with programming/scripting languages, such as Python
Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus
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The Pricing Reference Services Sales role at LSEG drives adoption of end of day and evaluated pricing, corporate actions and reference data solutions across all major asset classes for both buyside and sellside institutions.

The candidate will engage both middle and back office teams, custody providers and fund administrators to deliver solutions that simplify workflows, streamline regulatory reporting and support operational efficiency.

As a "hunter" in pre-sales and pursuit activities, you will join a team to act alongside Account Managers focusing on all sales (new, cross-sells, up-sells) for Data & Feeds Solutions in the given territory, to both existing and new customers.

This role is exclusively about gross sales, with future potential territory expansion depending on performance, and regular travel around the region. Extensive training and support is provided, and involves working in close partnership with account managers, solution consultants and customer success managers to proactively drive revenue growth.

LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities

Role Responsibilities

• Drive sales of multi-asset pricing and reference data services to institutional clients across asset management, banking, custody and fund administration sectors
• Develop relationships within middle and back office departments, including operations, risk, compliance and data management teams.
• Articulate value for regulatory compliance and reporting needs helping clients meet global and regional obligations using LSEG's data solutions
• Address client requirements for data enrichment, instrument identification (symbology) and integration with portfolio management, risk, core banking, core banking, custody and fund administration platforms.
• Support clients in leveraging LSEG data for operational processes and workflow transformation

Key Experience & Skills

• Deep understanding of financial markets and their market data requirements
• While product knowledge is a plus, passion and proven selling skills are far more meaningful
• Strong sales closer
• Strong presentation skills (verbal & written)
• Experience driving sales strategies
• 5+ years of industry, sales or market experience
• Proven track record in a quota bearing sales environment

People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this

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carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained,

your rights and how to contact us as a data subject

.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
  Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
  Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Submit CV

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
• Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Position Title: Sales Manager (Data Centre)
Working Location: (Jurong East)
Working Days: Monday - Friday
Working Hours: 8:30am - 5:15pm
Salary range: SGD 6,000 to SGD 8,500 monthly, 13th month, SGD 550 transport allowance
SPECIFIC RESPONSIBILITIES
Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
Establish budgetary forecasts and sales volume targets for the SEA DC market.
Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
Analyze sales and market data to provide relevant information to senior management for decision making.
Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.
Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.
TRAVEL
This position requires travel up to 50%.
QUALIFICATIONS / REQUIREMENTS
Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.
Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.
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.- Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.- Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.- A good team player and enjoys interacting with people of all levels.**, PROFESSIONAL AND PERSONAL CAPABILITIES/SKILLS**- Experience in Data Center segment is critical to the growth of PS business.
Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.
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Join to apply for the
Sales Engineer, Data Center
role at
Rehlko
1 week ago Be among the first 25 applicants
Why You Will Love This Job
BASIC FUNCTION
As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company. The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators. The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company. This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.
Specific Responsibilities
Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options
Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
Establish budgetary forecasts and sales volume targets for the SEA DC market.
Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
Analyze sales and market data to provide relevant information to senior management for decision making.
Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.
Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.
Travel
This position requires travel up to 50%.
Qualifications / Requirements
Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.
Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.
Results driven, strong will to compete and win in a business environment.
A good team player and enjoys interacting with people of all levels.
Able to travel frequently and work independently.
Critical Technical, Professional And Personal Capabilities/Skills
Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.
Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.
Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.
Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.
About Us
Rehlko proudly offers a rich history steeped in creativity and commitment to our associates and communities, along with competitive benefits and compensation. Our Purpose—Creating an energy resilient world for a better future—and Values: Curiosity, Trust, Pace, and Excellence, are important cultural components that shape the way we work and relate to one another. Learn more about Rehlko at In addition to the investment in your development, Rehlko offers a benefits package including a competitive salary, health, vision, dental, 401(k) with Rehlko matching, and more!
Rehlko is an equal opportunity employer that prohibits discrimination and will make decisions regarding employment opportunities, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination, without regard to race, creed, color, ethnicity, religion, sex, pregnancy, childbirth, or related medical conditions, genetic information, age, national origin, citizenship, ancestry, caste, mental or physical disability, marital or familial status, sexual orientation, gender identity or expression, genetic information, political belief or affiliation, union membership status, military status, veteran status, or any other characteristic protected by national, state, local, or other applicable laws.
Our Values
Curiosity
– Seek, learn, share
Trust
– Go farther together
Pace
– Focus to go faster
Excellence
– Find the win every day
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Sales and Business Development
Industries
Manufacturing
Rehlko is an equal opportunity employer that prohibits discrimination and will make decisions regarding employment opportunities, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination, without regard to race, creed, color, ethnicity, religion, sex, pregnancy, childbirth, or related medical conditions, genetic information, age, national origin, citizenship, ancestry, caste, mental or physical disability, marital or familial status, sexual orientation, gender identity or expression, genetic information, political belief or affiliation, union membership status, military status, veteran status, or any other characteristic protected by national, state, local, or other applicable laws.
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