Design and development of analytics solutions using different analytics tools like Power BI, QlikSense etc.
Build high performance SQL queries to retrieve, transform and analyze data.
Build and monitor analytics application processes to ensure customer expectations are met.
Collaborate with business stakeholders, data engineers, and data scientists to understand analytics requirements and design scalable and flexible data models.
Perform data profiling, analysis, and troubleshooting to identify and resolve data-related issues.
Follow DevOps practices across analytics tools.

Bachelor’s degree in computer science, Information Technology, Engineering or related discipline.
3 year’s experience of using Power BI or QlikSense or Tableau
3 year’s experience of using SQL/Python
Good understanding of data warehousing concepts, dimensional modeling, and sematic/reporting layer design.
Ability to communicate complex ideas in simple terms and effectively interact with decision makers.
Strong problem solving and decision-making skills.
Proficiency in SQL and programming languages such as Python.
Strong problem-solving and analytical skills with the ability to troubleshoot and resolve complex data-related issues.
Excellent communication and collaboration skills to work effectively with stakeholders at all levels.
Ability to manage multiple projects in a fast-paced and dynamic environment.

Competitive base salary and bonus opportunities
Paid time off (three-week minimum)
Medical, dental and vision starting day one
401(k) with employer match
Paid parental leave
Child and family care assistance (dependent care FSA with employer match up to $2500)
Bundle of joy benefit (year's worth of free diapers to all team members with a new baby)
Tuition assistance
Wellness program with savings of up to $4,000 per year on insurance premiums
...and more!

Solution Engineer – Analytics

Key skills