Senior Data Analyst

Innominds Software; Hyderabad, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Innominds Software seeks an experienced Senior Data Analyst with a Data Science background to support data democratization across enterprise systems. You will partner with stakeholders, Data Product Managers, Data Engineers, and Power BI teams to design scalable, data-driven solutions.

The role covers end-to-end data analysis, requirements gathering, evaluation of sources, solution design support, and Agile delivery.

Qualifications

• 8+ years of experience in data analysis for data and reporting products.
• Hands-on data analysis using Python, SQL, Databricks, and Power BI.
• Experience in Agile/Scrum environments.

Responsibilities

• Perform detailed data analysis across bronze, silver, and gold data layers in Databricks.
• Build data products in Atlan using Databricks assets.
• Create self-service analytics models and visualizations using Sigma Computing tools.
• Collaborate with Data Modeling and Power BI teams to deliver scalable reporting solutions.
• Write user stories and acceptance criteria for Agile development in Azure DevOps.

Skills

Python

SQL

Databricks

Power BI

Tableau

Excel

Education

Bachelor's Degree in Computer Engineering / Computer Science / Information Systems / Data Science

Master's Degree

Tools

Databricks

Snowflake

Oracle

Salesforce data schemas

Job description

Role & responsibilitie

We are seeking a Senior Data Analyst with Data Science background to support Data Democratization initiatives across Daikins enterprise systems and data platforms. In this role, you will partner closely with various business domain stakeholders, Data Product Managers, Data Engineers, and Power BI teams to design and deliver scalable, data-driven solutions.

This position includes end-to-end data analysis activities, including requirements gathering, evaluation of existing reports and data sources, solution design support, and Agile delivery execution. The ideal candidate is hands-on with SQL and data analysis, possesses working knowledge of Databricks systems, and is comfortable translating business needs into clear actionable technical requirements.

Typically reports to: Data Product Manager/Director

Essential Duties and Responsibilities

• Perform detailed data analysis for all data assets across bronze, silver and gold layers in Databricks and evaluate them for data quality and completeness for building data products
• Build data products in Atlan using data assets available in Databricks
• Create self-service analytics models and visualizations using Sigma Computing tools
• Analyze existing reports and datasets to identify opportunities for consolidation, standardization, or decommissioning
• Perform SQL-based data extraction, validation, and analysis
• Document data flows into downstream reporting platforms
• Collaborate with Data Modeling and Power BI teams to design and deliver scalable reporting and analytics solutions
• Write user stories and define acceptance criteria to support Agile development of business requirements in Azure Dev Ops
• Coordinate and support User Acceptance Testing (UAT), ensuring stakeholder approval prior to production deployment
• As a part of Data Products team, deliver and maintain accurate, complete and timely data sets while taking into account the business interests and needs internally & externally
• This role will involve working with the team and the management on a variety of initiatives related to Data Democratization operations
• Deliver on predefined individual and team targets including delivering outcomes with quality and excellence
• Keeps up-to-date in knowledge of content sets. Builds industry knowledge by understanding industry trends and reporting standards
• Provides input and ideas for new data collection methods and enhancements related to the respective processes
• Troubleshoot problems or issues and provide support to the data engineering team

Qualifications

Minimum Education Requirements

Education Level

Description

Bachelor's Degree or Equivalent Experience

Bachelor’s degree or experience in Computer Engineering, Computer Science, Information Systems, Data Science, or a related digital, analytical, or IT field

Preferred Education Requirements

Education Level

Description

Master's Degree

Master’s degree or experience in Engineering, Computer Science, Information Systems, Data Science, or a related digital, analytical, or IT field

Minimum Experience

Number of Years

Comments

8+ years

Preferred Experience

Number of Years

Comments

10-12 years

Required Knowledge, Skills, and Abilities

• Experience in Data Analysis for Data & Reporting products
• Strong hands-on data analysis skills using Python, SQL, Databricks, and Power BI
• Strong quantitative, analytical and interpretive skills
• Experience with Oracle, Salesforce data schemas; ability to map data flows from source systems to Databricks
• Practical experience working in Agile/Scrum environments
• Ability to multi-task and work in a team environment, while following flexible schedule to meet deadlines
• Able to present clearly and persuasively, listen and solicit clarification, and respond articulately to questions
• Follows policies and procedures and supports the organization's goals and values
• Can coordinate multiple parallel initiatives, communicate changes and progress, and complete deliverables on time and within budget
• Ability to interpret a variety of instructions furnished in mathematical, written, oral, diagram, or schedule form

• 8+ years of experience with Power BI, Tableau and BI tools
• Working knowledge of Databricks/ Snowflake administration/architecture and capabilities
• Ability to query and display large datasets while maximizing the performance of the workbook
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications
• Work with business stakeholders to create valuable reports and dashboards that provide insight, improve/automate processes, or add value to the team
• High-level competency in Excel (macros, V look ups, pivot tables, etc.)
• Understanding of advanced calculations and statistical functions
• A solid understanding of SQL, relational database management systems, data modeling, and normalization
• Strong communication skills and attention to detail and accuracy
• Prior experience in Data Engineering and/ or Data Science
• Familiarity or experience with Atlan and/ or Sigma Computing tools is a plus

Preferred Knowledge, Skills, and Abilities

• Strong quantitative, analytical and data analysis skills
• Ability to interact with many levels across the organization and to face and deal with issues in a mature and professional manner.
• Ability to prioritize, multi-task, and deliver to fast deadlines
• Attention to detail and persistent approach to work and someone who is self-directed
• Hands on writing SQL queries, python and able to review data within tables and assist data modelers with building data models that answer business questions