Lead data analytics and data lineage workstreams supporting investigative projects, ensuring robust analytical methodologies, high-quality data and actionable insights.
Key Responsibilities
- Lead data analysis and data lineage activities for defined project workstreams.
- Translate business and investigative requirements into data and analytical requirements.
- Design data extraction, transformation and analytical approaches.
- Conduct advanced data profiling, reconciliation and root-cause analysis.
- Identify data gaps and recommend appropriate remediation approaches.
- Develop complex SQL queries and analytical models. (advance SQL complex queries)
- Build dashboards and analytical solutions for stakeholder consumption.
- Review source-to-target mappings, data lineage and data-quality assessments.
- Review analytical outputs prepared by junior team members.
- Lead issue resolution with data owners, technology teams and business stakeholders.
- Support investigative teams in interpreting analytical findings.
- Identify opportunities for automation and process improvement.
- Contribute to proposals, solution approaches, estimations and client presentations.
- Mentor and develop junior analysts.
Tools & Technology
- Advanced SQL
- Python / Pandas
- Power BI / Tableau
- Alteryx
- ETL / data integration tools
- Data modelling concepts
- Exposure to cloud data platforms
Second role:
Data Analyst DM/ Manager
Role Purpose
Lead data analytics engagements and define data strategy for investigative projects,
translating complex data into actionable business and investigative insights while managing delivery, stakeholders and teams.
Key Responsibilities
- Lead end-to-end data analytics engagements supporting investigative projects.
- Define data strategy, analytical approach and delivery methodology.
- Translate complex investigative requirements into scalable data solutions.
- Oversee data discovery, lineage, quality, transformation and analytical activities.
- Lead complex investigations involving large and diverse datasets.
- Establish analytical frameworks for anomaly detection, pattern identification and relationship analysis.
- Review and challenge key analytical findings and recommendations.
- Lead senior stakeholder and client discussions on data and analytics.
- Develop executive-level analytical presentations and insights.
- Manage multidisciplinary analytics and data teams.
- Establish quality standards, review mechanisms and analytical governance.
- Drive automation, reusable assets and advanced analytics capabilities.
- Identify opportunities to use AI/ML and advanced analytics in investigative use cases.
- Support business development, proposals, solution design and commercial discussions.
- Develop team capability through coaching, training and knowledge-sharing initiatives.
Tools & Technology
- Enterprise data and analytics platforms
- Advanced SQL and Python
- Power BI / Tableau
- Cloud data platforms
- Data governance and lineage platforms
- Advanced analytics and statistical tools
- AI/ML concepts and platforms
📌 Advanced Data Analyst | Mumbai | Immediate Joiners
🏢 Deloitte Shared Services India
📍 Mumbai
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