Analytics Engineer:
As the Analytics Engineer, you will be responsible for aggregating all data across the enterprise, managing that data, and leveraging it to service internal teams and external clients to provide insights and make better business decisions. You will utilize your passion for data to evolve our efforts for ETL processes, data warehousing and data movement. You will work closely with and learn from other data professionals skilled in BI, data science, and data warehousing.
What You'll Do:
● Source system recommendations related to creation of insights or adjustments to data warehouse or mart structures
● Write SQL for reports and data aggregation
● Research gaps within data and develop opportunities for improving the upstream systems/processes
● Manage identified issues through data interpretation and analysis
● Constructs and performs testing of data processes for compliance and data quality
● Assist in identifying and designing attributes for ETL processes
● Contribute to ensuring security is a priority of data movement
● Examine complex data and turn it into information and insight to inform business decisions
● Produce BI dashboards for internal departments
● Build internal and external BI and operational reports for multiple stakeholder groups
● Plans, designs, develops and performs quality assessments on data elements and structures to document and evaluate integrity, completeness, and quality
● Translate business needs into technical data solutions
● Other duties as assigned
What You'll Bring:
● Bachelor degree in Computer Science, Data Analytics or related discipline (or equivalent experience)
● 3+ years of relevant experience
● An attitude that embraces challenging technical tasks
● Excellent problem solving skills around data access and structured data
● A demonstrated understanding of data engineering and data aggregation
● Experience leveraging commercial ETL tools like SSIS or similar, or creating jobs in Python or similar
● Strong understanding of SQL, relational data and non-relational data
● Ability to leverage data visualization tools, such as PowerBI or Looker
● Experience with some of the following nice-to-have: SQL Server, MySQL, MongoDB, DynamoDB, AWS, Azure, Redshift, Snowflake
● Some experience with Modern Data Stack tools like Fivetran, dbt, and similar
● Strong understanding of data models and ability to enhance metadata for data models
● Understanding of Agile, Scrum and Kanban techniques preferred
● Ability to collaborate cross-functionally, and work well in a distributed, team-oriented environment
● Experience in a SaaS, software, product-centric or payments business preferred
The base salary for this position is $90,000.00 - $105,000.00. Compensation may vary depending on several factors, including a candidate’s qualifications, skills, experience, competencies, and geographic location. Some roles may qualify for extra incentives like equity, commissions, or other variable performance-related bonuses. Further details will be provided by our Talent Acquisition team during the interview process.
2COMS Consulting Pvt. Ltd.
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