291 Analytics Engineer jobs in Singapore

MHA - Internal Security Department (ISD)

Permanent

What the role is

ISD confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD's critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
We are looking for candidates who are interested in both cyber security and data analytics. Your role is to analytical skills in evaluating data related to cyber threat activities operating within Singapore's cyberspace that could potentially impact national security.

What you will be working on

As a Cyber Analytics Engineer you will join our mission in cyber threat intelligence operations in selected or a combination of the following areas:
- Aggregate and enrich large amount of data from multiple sources.
- Design and develop cyber-analytics solutions to enable threat analysis and support decision-making.
- Contextualize and correlate cyber security threat events and data for the development of actionable threat intelligence.
- Present and communicate cyber-analytical findings with analysis of cyber threat incidents and/or cyber threat landscape to both technical and non-technical stakeholders.
- Conduct data mining on complex data sources to derive emerging cyber threat trends and patterns for the purpose of anomaly detection.
- Evaluate and make incremental improvements to internal, commercial and open-source tools for the purpose of enhancing and optimizing workflows and processes.

What we are looking for

• Applicants with no experience may .
• Self-motivated, open-minded, resourceful and meticulous. Able to work independently and in teams.
• Competent in at least one of the following programming language:
  o Python
  o R
  o Scala
• Interest and ability to gain expertise in other programming languages, frameworks and technologies.
• Familiarity with one or more database and its related querying languages (e.g. SQL, Pig, Hive, SparkQL).
• Knowledge and experience with any of the following would be an advantage:
  o Machine learning (e.g. predictive analytics, natural language processing)
  o Data analytics (e.g. descriptive statistics, modelling)
  o Algorithms (e.g. Complexity Theory, Search Algorithms, Data Structures)
  o Big data technologies (e.g. Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
  o Data visualisation (e.g. UX/UI design, PowerBI, D3, Tableau)
  o Network protocols and technologies (e.g. Netflow, DNS, TLS)
  o Cyber attack lifecycle and concept (e.g. kill chain, TTP, C&C server)
• Only Singaporeans need
  We wish to inform that only shortlisted candidates will be notified.

About MHA - Internal Security Department (ISD)

The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.

MHA - Internal Security Department (ISD)

Permanent

What the role is

ISD confronts and addresses threats to Singapore's internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD's critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
We utilise state-of-the-art technology and technical know-how to safeguard Singapore's security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.
Besides being passionate about data, analytics and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.

What you will be working on

• Design, develop, deploy and maintain analytics solutions that allow internal business teams to make data-driven decisions

• Evaluate, adopt, integrate and build on open-source and commercial analytics tools

• Work closely with end users, data scientists, data engineers and project managers in the planning, development and delivery of solutions

• Evaluate, maintain and optimise code for accuracy, performance, maintainability and scale of data queries, machine learning models and data visualizations

• Recommend and evaluate technologies to introduce new analytics capabilities

What we are looking for

• Applicants with no experience may

• Self-motivated, open-minded, resourceful and meticulous. Able to work independently and in teams.

• Ability to keep the overarching objectives of the project in mind while pursuing the technical details.

• Competent in at least one programming language (e.g. Python, Java, JavaScript, C/C++, C#, base SAS, R, Scala). Interest and ability to gain expertise
in other programming languages, frameworks and technologies.

• Familiarity with one or more database and its related querying languages (e.g. SQL, Pig, Hive, SparkQL).

• Knowledge and experience with any of the following would be an advantage:
- Machine learning (e.g. predictive analytics, natural language processing)
- Data analytics (e.g. descriptive statistics, modelling)
- Big data technologies (e.g. Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
- Web development (e.g. HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
- Data visualisation (e.g. UX/UI design, PowerBI, D3, Tableau)
- System administration (e.g. OS, networking, databases)
- Containers technologies (e.g. Docker, Kubernetes

• Only Singaporeans need
We wish to inform that only shortlisted candidates will be notified.

About MHA - Internal Security Department (ISD)

The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day. Together, we belong to something beautiful.
Sephora SEA’s omni channel business spans over 8 countries (Australia, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore and Thailand) with 100+ stores and boasts some global flagships such as ION and Raffles City in Singapore, F88 in Kuala Lumpur and Pitt Street in Sydney. Sephora SEA is experiencing rapid growth in the region with new store openings and business channels (i.e., Click and collect and marketplace).
Executive, Analytics Engineer
We are looking for a passionate Executive, Analytics Engineer to join our data team and shape the future of beauty E-Commerce in Southeast Asia. This role reports to our Manager, Analytics Engineer in the tech organisation and will be part of a highly collaborative team delivering our core reusable data model that enables a wide variety of use cases such as report building, insights generation and ML applications.
You will shine here if you enjoy.
Acting as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT
Understanding complex business requirements and translating them into effective, insightful dashboards that support decision‐making
Building secure and scalable ELT data pipelines in Airflow and GCP
Creating and maintaining comprehensive documentation for both core and business‐specific data assets to ensure clarity and consistency across the organisation
Ensuring data models are accurate, complete, and reliable by managing the integrity and quality of all data assets
Continuously improving the performance of DBT models by applying best practices in query design and data transformations
Collaborating with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes
We would love to hear from you if you are/have.
At least 2 years in the data space as an analytics engineer / data analyst
Advanced proficiency in SQL, DBT and Big Query knowledge is a plus
Basic knowledge of Python programming
Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus
Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus
Ability to connect the dots between technical implementation work and business context
Here, you will find:
Community , in which authenticity is embraced, and the strength of our differences fuels our collective spirit
Culture of empowerment, learning & growth,
that offers you the tools, space and opportunity to learn, innovate and lead
Work that brings fulfilment,
from delighting clients every day, to inspiring our industry at large, every action makes a difference
It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself, because you are what sets us apart.
Join us and belong to something beautiful.
Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.
#J-18808-Ljbffr

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day. Together, we belong to something beautiful.
Sephora SEA’s omni channel business spans over 8 countries (Australia, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore and Thailand) with 100+ stores and boasts some global flagships such as ION and Raffles City in Singapore, F88 in Kuala Malaysia and Pitt Street in Sydney. Sephora SEA is experiencing rapid growth in the region with new store openings and business channels (i.e., Click and collect and marketplace).
We are looking for a passionate Executive, Analytics Engineer to join our data team and shape the future of beauty E‐Commerce in Southeast Asia. This role reports to our Manager, Analytics Engineer in the tech organisation and will be part of a highly collaborative team delivering our core reusable data model that enables a wide variety of use cases such as report building, insights generation and ML applications.
You will shine here if you enjoy.
Acting as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT
Understanding complex business requirements and translating them into effective, insightful dashboards that support decision‐making
Building secure and scalable ELT data pipelines in Airflow and GCP
Creating and maintaining comprehensive documentation for both core and business‐specific data assets to ensure clarity and consistency across the organisation
Ensuring data models are accurate, complete, and reliable by managing the integrity and quality of all data assets
Continuously improving the performance of DBT models by applying best practices in query design and data transformations
Collaborating with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes
We would love to hear from you if you are/have.
At least 2 years in the data space as an analytics engineer / data analyst
Advanced proficiency in SQL, DBT and Big Query knowledge is a plus
Basic knowledge of Python programming
Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus
Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus
Ability to connect the dots between technical implementation work and business context
Here, you will find:
Community , in which authenticity is embraced, and the strength of our differences fuels our collective spirit
Culture of empowerment, learning & growth,
that offers you the tools, space and opportunity to learn, innovate and lead
Work that brings fulfilment,
from delighting clients every day, to inspiring our industry at large, every action makes a difference
It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself, because you are what sets us apart.
Join us and belong to something beautiful.
Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.
Sephora’s stores offer passionate beauty fans across the world a privileged freedom to touch and test products since 1969. The House provides a superior selection of quality products and always keeps pace with the latest trends. The house is built upon the exceptional talents of its beauty professionals who create a perfect environment for adventurous clients who want to experiment and learn. With the innovative range of products in the Sephora Collection, its distinctive stores and bold commitment to new ideas, the House is always able to surprise and delight its clients. At every touch point with its clients, in store and online, Sephora provides an unconventional approach which has made it the most loved beauty community in the world.
Crafting Dreams Starts With Yours
At LVMH, people make the difference in the art of crafting dreams. Our people fuel our dynamic, entrepreneurial culture. We value collective ambitions, encouraging our talents to push boundaries and champion a curious, audacious state of mind. Our commitment to excellence is reflected in nurturing every individual with a growth mindset and development opportunities, consistently empowering them to reach their full potential. We are actively committed to positive impact through an inclusive environment that supports and gives back to our talented community. Join us at LVMH, where your talent is at the heart of our collective successes.
#J-18808-Ljbffr

Menicon is a contact lens specialist embracing precision craftsmanship to see life in detail. Join our family in Singapore, the first manufacturing facility outside Japan for daily disposable contact lens and a base for developing technologies and products with advanced, value-added features.
We are seeking a
SCADA Engineer
with experience to collaborate with cross-functional teams to build powerful dashboards, templates, and analytics tools that leverage real-time and historical data to support decision making. This role will be actively involved in developing our capability for predictive analytics.
Job Descriptions
Design, configure, and implement SCADA solutions with Ignition Vision and Perspective modules.
Integrate SCADA with PLCs, sensors, OPC servers, databases, and industrial protocols (e.g., Modbus, Ethernet/IP).
Build and customize data visualization dashboards within Ignition using Jython (Python) and SQL to support operations, engineering, and maintenance teams.
Implement analytics for downtime, OEE (Overall Equipment Effectiveness), and root cause analysis.
Develop frameworks to detect anomalies and trigger predictive maintenance using equipment and sensor data.
Requirements
Bachelors degree in Engineering, Data Science, Computer Science or related discipline.
3 years of experience with SCADA systems development using Ignition with data knowledge of Ignition Tag Historian, Reporting, Vision and Perspective modules.
Proficient in designing data visualization tools and build intuitive dashboards.
Proficient in Python (Jython) and SQL for scripting, data queries, and logic building.
Knowledge understanding of OEE and SPC.
Self-motivated and work with cross-functional teams.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
Medical Equipment Manufacturing
#J-18808-Ljbffr

Overview
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
About the Role
We're looking for an Analytics Engineer to join the WWSE Growth & Excellence team. In this global role, you’ll streamline operational workflows through data automation and intelligent process design. You’ll work closely with cross-functional stakeholders across Sales, Operations, and Data Engineering to drive better visibility into how technical product experiences contribute to pipeline movement and revenue generation.
What You’ll Do
Build dashboards for global audiences (powered by Snowflake) to surface insights for Quarterly Business Reviews (QBRs) and Sales Briefings (QSRs).
Visualize key metrics such as usage trends, engagement levels, and conversion rates.
Maintain and scale the Customer Win Dashboard.
Integrate a consultative selling value library into Pure Realize and SFDC.
Analyze the impact of Test Drive activities on opportunity outcomes, including correlation with closed-won deals.
Identify and resolve data integrity issues between Test Drive systems and Salesforce, ensuring accurate mapping of activities to opportunities.
Develop solutions to reconcile opportunity misalignment scenarios between SFDC and Test Drive (e.g., closed and reopened deals).
Automate the manual voucher generation process for Test Drives, reducing time and error-prone tasks.
Key Responsibilities
Develop Python or API-based automations to streamline internal operations.
Connect and clean data from disparate sources (Snowflake, Salesforce, Test Drive).
Build dashboards to support QBRs and executive briefings with actionable insights.
Solve misalignment between Test Drive activity and opportunity attribution in Salesforce.
Support data governance and accuracy across analytics workflows.
What We’re Looking For
Analytically minded with strong problem-solving skills.
Proficient in data analysis, automation, and visualization tools (e.g., Snowflake, SQL, Python, BI tools).
Detail-oriented and process-driven, with a passion for improving efficiency and accuracy.
Collaborative team player who can work across functions to drive results.
Experience with Salesforce and sales operations workflows is a plus.
What You Can Expect From Us
Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers.
Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Large Workplaces in the Bay Area, Fortune's Best Workplaces for Millennials and certified as a Great Place to Work!
Pure Team : We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information.
Accommodations and Accessibility
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you’re invited to an interview.
Our Commitment to a Strong and Inclusive Team
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join Us
Join us and bring your best. Bring your bold. Bring your flash.
#J-18808-Ljbffr

Join to apply for the
Data Analytics Engineer
role at
Internal Security Department
What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.
We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.
Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.
What You Will Be Working On
Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
Recommend and evaluate technologies to introduce new analytics capabilities
What We Are Looking For
Applicants with no experience may apply
Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
Knowledge and experience with any of the following would be an advantage:
Machine learning (e.g., predictive analytics, natural language processing)
Data analytics (e.g., descriptive statistics, modeling)
Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
System administration (e.g., OS, networking, databases)
Container technologies (e.g., Docker, Kubernetes)
Only Singaporeans need apply
We wish to inform you that only shortlisted candidates will be notified.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Government Administration and Industrial Machinery Manufacturing
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Join to apply for the
Cyber Analytics Engineer
role at
Internal Security Department
1 week ago Be among the first 25 applicants
Join to apply for the
Cyber Analytics Engineer
role at
Internal Security Department
What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
We are looking for candidates who are interested in both cyber security and data analytics. Your role is to apply analytical skills in evaluating data related to cyber threat activities operating within Singapore’s cyberspace that could potentially impact national security.
What You Will Be Working On
As a Cyber Analytics Engineer, you will join our mission in cyber threat intelligence operations in areas such as:
Aggregate and enrich large amounts of data from multiple sources.
Design and develop cyber-analytics solutions to enable threat analysis and support decision-making.
Contextualize and correlate cyber security threat events and data for the development of actionable threat intelligence.
Present and communicate cyber-analytical findings with analysis of cyber threat incidents and/or cyber threat landscape to both technical and non-technical stakeholders.
Conduct data mining on complex data sources to derive emerging cyber threat trends and patterns for anomaly detection.
Evaluate and improve internal, commercial, and open-source tools to optimize workflows and processes.
What We Are Looking For
Applicants with no experience may apply.
Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
Proficiency in at least one programming language such as Python, R, or Scala.
Interest and ability to learn other programming languages, frameworks, and technologies.
Familiarity with database querying languages (e.g., SQL, Pig, Hive, SparkQL).
Knowledge or experience with:
Machine learning (e.g., predictive analytics, natural language processing)
Data analytics (e.g., descriptive statistics, modeling)
Algorithms (e.g., complexity theory, search algorithms, data structures)
Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
Data visualization tools (e.g., PowerBI, D3, Tableau)
Network protocols and technologies (e.g., Netflow, DNS, TLS)
Cyber attack lifecycle and concepts (e.g., kill chain, TTP, C&C server)
Only Singaporeans need apply.
We wish to inform you that only shortlisted candidates will be notified.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Government Administration and Industrial Machinery Manufacturing
#J-18808-Ljbffr

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

The Data Analytics Engineer is responsible for building and maintaining the organization's analytics and visualization layer to ensure reliable, scalable, and well-documented data for business use. The engineer will own and manage all dbt models and ensure analytics requirements are translated into performant, accurate and reusable data models. The role also involves creating and maintaining dashboards, ensuring stakeholders have access to accurate and actionable insights. The Data Analytics Engineer will work closely with the Data Analytics Manager, business analysts, data analysts and data engineers to support decision-making and deliver analytics solutions aligned with business needs.

Essential Duties and Responsibilities

Data Modeling & Transformation:

• Develop, maintain, and optimize dbt models to transform raw data into analytics-ready datasets.
• Write dbt tests to ensure high data quality standards.
• Ensure data models follow development best practices in documentation, testing, and version control.
• Ensure the analytics stack integrates seamlessly with other components of the data platform (Eg Data catalog)

Analytics and Business Enablement

• Collaborate with business stakeholders and the Data Analytics Manager to translate requirements into scalable analytics models and dashboards.
• Build and maintain Superset dashboards to enable self-service analytics and drive adoption across the organization.
• Administrate access to data in accordance with the company's data governance policies.
• Support ad hoc analytics and provide guidance to data analysts on leveraging data models for reporting and insights.

Data Operations

• Support ad hoc analytics and provide guidance to data analysts on leveraging data models for reporting and insights.

Requirements

• Bachelor's or Master's degree in Analytics, Computer Science, Data Science, Engineering, Mathematics, or related field.
• Driven individual who continually strives to keep up with the latest trends in analytics engineering.
• Strong SQL skills and experience with dbt (modeling, testing, documentation).
• Familiarity with BI tools, preferably Apache Superset (or similar, e.g., Tableau, Power BI, Looker).
• Experience working with data in Data warehouses (Redshift, Snowflake, BigQuery, or equivalent).
• Good understanding of data modeling, data transformation best practices, and analytics engineering principles.
• Strong problem-solving skills, with the ability to translate business questions into analytics solutions.
• Strong team player with excellent written and verbal communication skills for effective team collaboration in a fast-paced environment.

Good to have

• Experience with workflow orchestration tools (e.g. Airflow).
• Experience with version control (Git) and software development best practices.
• Experience with CICD tools (Bitbucket pipelines, GitLab, Argo Workflow).

Are you game?