2+ Snow flake schema Jobs in Ahmedabad | Snow flake schema Job openings in Ahmedabad

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 improvement 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
• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)
• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema
• Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

Job Description

Mandatory Requirements 

• Experience in AWS Glue

• Experience in Apache Parquet 

• Proficient in AWS S3 and data lake 

• Knowledge of Snowflake

• Understanding of file-based ingestion best practices.

• Scripting language - Python & pyspark

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 

• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 

• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 

• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.

• Define process improvement opportunities to optimize data collection, insights and displays.

• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 

• Identify and interpret trends and patterns from complex data sets 

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 

• Key participant in regular Scrum ceremonies with the agile teams  

• Proficient at developing queries, writing reports and presenting findings 

• Mentor junior members and bring best industry practices.

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 

• Strong background in math, statistics, computer science, data science or related discipline

• Advanced knowledge one of language: Java, Scala, Python, C# 

• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  

• Proficient with

• Data mining/programming tools (e.g. SAS, SQL, R, Python)

• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)

• Data visualization (e.g. Tableau, Looker, MicroStrategy)

• Comfortable learning about and deploying new technologies and tools. 

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 

• Good written and oral communication skills and ability to present results to non-technical audiences 

• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus: 

• AWS certification

• Spark Streaming 

• Kafka Streaming / Kafka Connect 

• ELK Stack 

• Cassandra / MongoDB 

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools