Jobs
Skills Needed:
Proven experience with PowerBI.
- Strong SQL/p-SQL/pl-SQL/T-SQL skills.
- Exposure to AWS or Azure cloud data services.
- General understanding of ETL, relational databases, warehousing and reporting techniques
Nice to have:
-
Experience with Databricks, Snowflake, Data Factory, Redshift, Athena, Aurora
-
Understanding of complex Tableau calculation, LOD, Parameters, Set, Groups and their equivalent in Power BI and Power BI, MOM/YOY Analysis
-
Knowledge of NoSQL databases.
-
Familiarity with Python, Spark, and Scala.
-
Experience with SAP objects / BI.
Responsibilities:
- Utilize Power BI or Tableau or Qlik for additional reporting and visualization requirements.
- Develop and maintain ETL processes to ensure data quality and consistency.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
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About Endava
Reviews
4.1
28 reviews
Work Life Balance
4.0
Compensation
4.3
Culture
4.1
Career
4.0
Management
3.8
73%
Recommend to a Friend
Pros
Interesting projects and challenges
Opportunity for career growth
Competitive compensation and benefits
Cons
Some organizational bureaucracy
Room for improvement in processes
Work-life balance varies by team
Salary Ranges
91 data points
Junior/L3
Junior/L3 · Data Analyst
0 reports
$41,790
total / year
Base
-
Stock
-
Bonus
-
$35,522
$48,058
Interview Experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
First round interview (30 minutes)
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