Senior Data Analyst (Power BI)

5 - 10 years

15 - 30 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Description

SUMMARY
Who We Are

tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions, and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements.

About this Role

We are seeking an experienced, driven and motivated Senior and Lead Data Analysts to design and deliver robust data environment for our clients and internal applications. The ideal candidate will have strong hands-on experience with Power BI, SQL and Data Modeling on Cloud to support business intelligence and analytics with large data ecosystems

Requirements
Position: Sr. Data Analyst
Experience :
  • 5 to 8 +   Years of hands-on experience in Information Technology
  • 4 to 8+ years of experience designing and executing data solutions in Business Intelligence.
Location:  Bengaluru, India

What skills do we expect from you on Power BI
  • Extensive hands-on Power BI visual dashboards, applications, KPI (key performance indicators) scorecards, DAX functions.
  • Experience with performance tuning Power BI datasets and reports with Direct and Import mode, Aggregations, Filter Contexts, Partitioning, Row Level Security etc.
  • Experience managing and optimizing Power BI Capacities, using Advanced Restful APIs
What skills do we expect from you in Data and Analytics
  • Experience on cloud data ecosystems AWS (Amazon Web Services) Redshift, Azure Synapse, Snowflake or Data Bricks
  • Experience writing and tuning performance on complex SQL queries.
  • Experience with Star/Snowflake data models
  • Experience providing solutions on Retail or Finance data domains.
  • Ability to articulate, create, and maintain technical and non-technical documentation.
In this Role, You Will
  • Design and build data applications on public cloud environments (AWS, Azure, GCP) and/or hybrid cloud using a well architected framework.
  • Leveraging expertise in data analysis, visualization, and business intelligence to provide valuable insights and support data-driven decision-making within the organization.
  • Lead a team of data analysts to execute the data strategy and maintain the ecosystem.
  • Regular evaluation of changes in the data industry and adopt the best practices in terms of technology, governance, security, and compliance.
  • Optimize cloud data infrastructure costs.
  • Respond to technical issues in a professional and timely manner.
  • Develop Power BI visual dashboards, KPI scorecards, and reports utilizing Microsoft technology stack.
  • Leverage modern Power BI to extract and manipulate data from a variety of diverse sources.
  • Write complex DAX functions in Power BI and Power Pivot.
  • Present alternative ways for internal customers to visualize and consume data.
  • Understand business questions/pain points and alleviate with supporting data.
  • Ensure data accuracy, consistency, and adherence to data governance policies. Conduct data quality checks and implement measures to maintain data integrity.
  • Research advanced analytic/visualization capabilities to improve customer understanding of data insights.
  • Collaborate cross-functionally at various levels and diplomatically influence stakeholders.
  • Demonstrate excellent analytical, problem-solving, and decision-making skills.
  • Demonstrate the ability to multi-task, deal effectively with ambiguity, change in business requirements, and self-prioritize under pressure.
  • Debug data issues and deliver quality results under tight timelines.

Preferences
  • Bachelor's degree in computer science, computer engineering, information technology, or relevant field.
  • Experience in Azure Data Factory or other ETL (Extraction, Transformation, Loading) tools solutions and development
  • Public cloud certifications.
  • Excellent Communication Skills

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