Data Analyst

Gradient Learnings; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Gradient Learnings is hiring a Data Analyst to empower our BI team with timely data and reports. You will build reports and dashboards in Power BI and Salesforce, connecting SQL sources, Excel, and APIs to deliver accurate insights for Sales, Marketing, Billing, and Product usage.

A customer-centric mindset and detail orientation are essential. You will work with the Data Architect and stakeholders to design data models, automate refreshes, and maintain data dictionaries and documentation.

Qualifications

• Bachelor’s degree or equivalent practical experience in analytics, CS, IS, Mathematics, or related field.
• 4+ years in analytics, BI, reporting, or data-focused roles.
• Advanced SQL skills including joins, CTEs, window functions, and optimization.
• 2+ years using Snowflake for data querying and analysis.
• 5+ years building and maintaining Power BI reports, dashboards, and data models.
• Strong data modeling concepts and performance considerations for BI.
• Hands-on Python for data analysis and automation.
• Experience with cloud data platforms (AWS, Snowflake, Redshift, BigQuery).
• Familiarity with analytics engineering practices and governance.

Responsibilities

• Design, develop, and maintain Power BI and Salesforce reports and dashboards.
• Build Power BI data models with relationships, calculated columns, and measures; automate data refreshes.
• Pull data from SQL databases, Excel, SharePoint, and APIs for reporting.
• Track work via Jira and participate in Analytics Sprint planning.
• Collaborate with stakeholders to translate requirements into analyses and visuals.
• Manipulate data to meet business needs and improve reporting efficiency.
• Document data lineage, data dictionary, and reporting indexes for the team.
• Provide feedback to Data/Operations on data quality and sources.

Skills

Advanced SQL

Snowflake

Power BI

Python

Data modeling

Jira

Education

Bachelor’s in Business Analytics, CS, IS, Math, Data Science, or related

Tools

Power BI

Salesforce

NetSuite

Hubspot

Snowflake

PostgreSQL

AWS S3

AWS Glue

AWS RDS

Snowflake

Redshift

BigQuery

Job description

Full-time

data-analytics

Job Summary With the extreme growth rate of our company, teams, and customer base, we are looking for a Data Analyst to help our Business Intelligence team keep up with the needs of the business by providing data and reports to our various functional areas in a timely manner. As part of this team, you’ll work with your team members, our Data Architect, as well as stakeholders throughout the company to build and maintain new reports and dashboards in PowerBI and Salesforce, providing better access and visibility to our business data. You’ll be working within our CRM looking at Sales, Marketing, as well as with our billing data and product usage data. This position requires a consistent work ethic, strong attention to detail, the ability gather requirements, and a customer-centric mindset.

Responsibilities

• Design, Develop, and maintain reports and dashboards within Power BI and Salesforce in a timely manner based on the needs of the business.
• Build and maintain Power BI data models, including relationships, calculated columns, and measures. Automate data refresh schedules and ensure the reports are up-to-date with the latest information.
• Work with data sources such as SQL databases, Excel, SharePoint, and other external APIs to gather, transform, and load data for reporting.
• Work tickets assigned to you via Jira through our Analytics Sprint planning process. Providing visible progress and closed-loop communication through updates on the tickets.
• Work with stakeholders to solve through requirements and achieve a clear understanding on requests.
• Managing and manipulating data and views to meet the needs of the business
• Working backwards through metrics and reports to understand filters for the purpose of recreating, improving upon and/or consolidating them
• Help maintain our data dictionary, reporting index, and any other internal documentation used to provide visibility to our reporting stack to our internal teams
• Provide feedback to our Data and Operations teams on the states of our data and data sources for opportunities to improve data integrity or gain efficiencies in gathering data.
• Conduct training sessions or provide support to end-users on using Power BI reports effectively.
• Stay updated on Power BI updates, best practices, and new features to improve the efficiency and effectiveness of reporting processes.
• Will be working various cloud software including Salesforce, NetSuite, Hubspot and more.

Requirements

• Bachelor’s degree in Business Analytics, Computer Science, Information Systems, Mathematics, Statistics, Data Science, or a related field; equivalent practical experience will be considered.
• 4+ years of professional experience in analytics, business intelligence, reporting, or a related data-focused role.
• Advanced SQL skills, including joins, CTEs, window functions, aggregations, query optimization, and working with relational databases such as PostgreSQL.
• 2+ years experience using Snowflake as a cloud data warehouse to query, transform, and analyze business data using advanced SQL.
• 5+ years of experience building, publishing, and maintaining Power BI reports, dashboards, semantic models, DAX measures, and Power Query transformations.
• Strong understanding of data modeling concepts, including star schemas, relationships, calculated measures, data quality controls, and performance considerations for BI solutions.
• Hands-on experience with Python for data analysis, automation, and data preparation using common libraries such as pandas, NumPy, or similar tools.
• Experience with modern data warehousing, ETL/ELT concepts, and cloud data platforms or services such as AWS S3, AWS Glue, AWS RDS, Snowflake, Redshift, BigQuery, or similar technologies.
• Familiarity with analytics engineering practices such as reusable data models, documentation, data lineage, version control, testing, and governed self-service reporting.
• Ability to gather requirements, define success metrics, translate business questions into analytical approaches, and communicate trade-offs clearly to technical and non-technical stakeholders.