Analytics Head

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI

Role Overview

We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive

enterprise reporting, analytics, and data insights across the organization. This is a senior,

hands-on role requiring deep technical expertise across the Microsoft data and BI stack,

strong business acumen, and the ability to operate with minimal hand-holding. The ideal

candidate will act as a bridge between business leadership and technical teams, translating

complex business questions into scalable, reliable data models and executive-ready insights.

Key Responsibilities

 Serve as the primary owner of enterprise reporting and BI solutions, from data

ingestion through executive dashboards.

 Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using

STAR schema best practices.

 Partner closely with business stakeholders and C-level executives to define KPIs,

metrics, and reporting requirements.

 Lead and present weekly reporting and insights sessions with senior and executive

leadership.

 Ensure data accuracy, consistency, and trust across all reports and analytics outputs.

 Proactively identify data quality issues, root causes, and remediation strategies.

 Drive automation of reporting, alerts, and data refresh processes to reduce manual

effort.

 Collaborate with engineering, data, and application teams to align business logic with

source system data structures.

 Mentor junior analysts and establish BI standards, best practices, and documentation.

Technical Skills – Data & Backend

 Advanced SQL: complex queries, views, stored procedures, and validation against

source systems (RDN, Recovery Connect).

 Azure Data Factory: build and manage copy pipelines from SQL sources to data

warehouses / dedicated pools.

 Incremental refresh, parameterized pipelines, and schema replication.

 Data warehouse design: STAR schema, fact vs dimension tables, handling deleted

records and SCDs.

Technical Skills – Reporting & Frontend

 Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.

 Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).

 Query folding and performance optimization best practices.

 Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.

 Power Automate integration for alerts and workflow-driven notifications.

Data Quality & Analytics

 Ability to clean, normalize, and reconcile data across multiple systems.

 Strong troubleshooting skills when business definitions and data do not align.

 Translate business terminology into accurate technical mappings and calculations.

Communication & Leadership

 Serve as a key liaison between business stakeholders and technical teams.

 Comfortable working directly with C-level executives and senior leadership.

 Ability to lead executive-level meetings and clearly communicate insights.

 Self-starter mindset with minimal hand-holding.

Qualifications

 7–10+ years of experience in BI, analytics, or enterprise reporting roles.

 Preferred experience in financial services or regulated environments.

 Strong experience across the Microsoft BI ecosystem.

Preferred Certifications

 Microsoft PL-300 (Power BI Data Analyst)

 Microsoft DP-600 (Fabric Analytics Engineer)

 Microsoft DP-700 (Fabric Data Engineer)

What Success Looks Like

 Executive leadership trusts and relies on BI dashboards for decisions.

 Reporting is automated, accurate, and scalable.

 BI functions as a strategic partner to the business.

Role Overview

We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive enterprise reporting, analytics, and data insights across the organization. This is a senior, hands-on role requiring deep technical expertise across the Microsoft data and BI stack, strong business acumen, and the ability to operate with minimal hand-holding. The ideal candidate will act as a bridge between business leadership and technical teams, translating complex business questions into scalable, reliable data models and executive-ready insights.

Key Responsibilities

·       Serve as the primary owner of enterprise reporting and BI solutions, from data ingestion through executive dashboards.

·       Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using STAR schema best practices.

·       Partner closely with business stakeholders and C-level executives to define KPIs, metrics, and reporting requirements.

·       Lead and present weekly reporting and insights sessions with senior and executive leadership.

·       Ensure data accuracy, consistency, and trust across all reports and analytics outputs.

·       Proactively identify data quality issues, root causes, and remediation strategies.

·       Drive automation of reporting, alerts, and data refresh processes to reduce manual effort.

·       Collaborate with engineering, data, and application teams to align business logic with source system data structures.

·       Mentor junior analysts and establish BI standards, best practices, and documentation.

Technical Skills – Data & Backend

·       Advanced SQL: complex queries, views, stored procedures, and validation against source systems (RDN, Recovery Connect).

·       Azure Data Factory: build and manage copy pipelines from SQL sources to data warehouses / dedicated pools.

·       Incremental refresh, parameterized pipelines, and schema replication.

·       Data warehouse design: STAR schema, fact vs dimension tables, handling deleted records and SCDs.

Technical Skills – Reporting & Frontend

·       Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.

·       Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).

·       Query folding and performance optimization best practices.

·       Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.

·       Power Automate integration for alerts and workflow-driven notifications.

Data Quality & Analytics

·       Ability to clean, normalize, and reconcile data across multiple systems.

·       Strong troubleshooting skills when business definitions and data do not align.

·       Translate business terminology into accurate technical mappings and calculations.

Communication & Leadership

·       Serve as a key liaison between business stakeholders and technical teams.

·       Comfortable working directly with C-level executives and senior leadership.

·       Ability to lead executive-level meetings and clearly communicate insights.

·       Self-starter mindset with minimal hand-holding.

Qualifications

·       7–10+ years of experience in BI, analytics, or enterprise reporting roles.

·       Preferred experience in financial services or regulated environments.

·       Strong experience across the Microsoft BI ecosystem.

Preferred Certifications

·       Microsoft PL-300 (Power BI Data Analyst)

·       Microsoft DP-600 (Fabric Analytics Engineer)

·       Microsoft DP-700 (Fabric Data Engineer)

What Success Looks Like

·       Executive leadership trusts and relies on BI dashboards for decisions.

·       Reporting is automated, accurate, and scalable.

·       BI functions as a strategic partner to the business.