Senior Data Analyst

Pro5.ai

India

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

A leading technology firm in India is seeking a highly skilled Senior Data Analyst to join their Data Analytics Team. The role focuses on ensuring data accuracy and resolving discrepancies, while engaging with senior stakeholders to communicate insights. Candidates should have a strong background in data analytics, proficiency in SQL and Python, and experience in client-facing projects. This is a mid-senior level contract position offering the opportunity to make a significant impact in a dynamic environment.

Qualifications

  • Minimum of 5 years of experience in business intelligence or data analytics projects.
  • Proficiency in writing queries to validate dashboard figures against raw data.
  • Experience in client-facing projects is a plus.

Responsibilities

  • Investigate and resolve complex data discrepancies.
  • Troubleshoot technical issues in existing dashboards.
  • Translate technical root causes into clear business explanations.

Skills

Data analysis
SQL
Python
Data visualization
Problem-solving
Communication
Data quality assurance

Education

Bachelor’s or postgraduate degree in Mathematics, Statistics, Engineering, Machine Learning, Artificial Intelligence, or related fields

Tools

SQL
BigQuery
PowerBI
Looker
SAP HANA

Job description

Co-founder & CEO @ Pro5.ai (we're growing)

Direct message the job poster from Pro5.ai

Reporting Line
  • Reports to Senior Manager of Data Analytics
Purpose

Our client is seeking a highly skilled Senior Data Analyst to join their Data Analytics Team. The successful candidate will act as the guardian of data accuracy and system reliability. This role focuses on investigating and resolving complex data discrepancies, performing root cause analysis across data pipelines from SAP and BigQuery to Looker and PowerBI, and handling insight extraction across various data sources. The role also involves troubleshooting technical issues in existing dashboards and ensuring strong business trust in data assets.

Duties and Responsibilities
Data Integrity and Root Cause Analysis
  • Act as the primary investigator for reported data discrepancies.
  • Trace data lineage from visualization layers such as Looker and PowerBI back to raw sources including BigQuery and SAP.
  • Identify, explain, and fix root causes of data mismatches.
Technical Troubleshooting and Maintenance
  • Review and debug existing codebases including LookML, PowerBI DAX, and SQL.
  • Identify logic errors or inefficiencies in dashboards and implement fixes or guide developers on remediation.
Focus on Explanation
  • Translate technical root causes into clear business explanations for stakeholders, including explaining why numbers changed or were missing.
Insight Generation
  • Execute rapid data insight extraction and analysis requests to support immediate business questions.
Stakeholder Engagement
  • Communicate complex data insights effectively to senior stakeholders.
  • Clearly articulate analysis outcomes and their business implications.
  • Provide guidance and support to junior team members.
  • Ensure seamless project execution and knowledge sharing.
Work Experience and Education
  • Minimum of 5 years of experience in business intelligence or data analytics projects.
  • Experience in client-facing projects is a plus.
  • Bachelor’s or postgraduate degree in Mathematics, Statistics, Engineering, Machine Learning, Artificial Intelligence, or related analytical fields with experience in data analytics and data science.
Knowledge, Skills, and Abilities
  • Minimum of 5 years in data analytics with a proven track record of handling large datasets and delivering business insights.
  • Proficiency in visualization using Google Looker, Looker Studio, and PowerBI.
  • Proficiency in writing queries to prove or disprove Looker and PowerBI dashboard figures against raw data.
  • Proficiency in BigQuery, Vertex AI, and the GCP suite.
  • Proficiency in Python and SQL.
  • Strong problem-solving skills with the ability to provide data product support and data quality assurance.
  • Experience with ETL processes and SAP HANA is a plus.
  • Excellent communication skills to engage effectively with senior stakeholders.
  • Experience in client-facing projects or multicultural environments.
Travel and Work Requirements
  • Occasional off-hours work and or holiday work may be required.
  • Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences.
  • Strong expertise in data validation across multiple sources, root cause analysis, and closing data discrepancies.
  • Excellent troubleshooting and debugging of data models and dashboards.
  • Looker experience including LookML modeling, dashboard and visualization creation, administration, and governance.
  • PowerBI experience including report and dashboard development, dataflows, and data modeling.
  • BigQuery experience including creating and optimizing views.
  • Excellent SQL and Python skills.
  • Proven ability to meet strict commercial deadlines.
  • Ability to work independently and overcome technical challenges through research.
  • Strong communication skills with both business and technical teams.
  • Ability to adapt quickly to changing business environments.
  • Up-to-date knowledge of best practices and advancements in development and design.
  • Strong multitasking and interpersonal skills.
  • Experience documenting, designing, and modeling solutions and explaining them to the team.
  • Analytical and problem-solving mindset.
  • Self-motivated and eager to learn.
  • Team player with leadership and initiative.
Disclaimer

The above statements describe the general nature and level of work performed by individuals assigned to this role. They are not intended to be an exhaustive list of all responsibilities, duties, or skills required.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Engineering and Information Technology
Industries
  • Technology
  • Information and Internet
  • Pharmaceutical Manufacturing
  • Data Infrastructure and Analytics
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