Senior Data Analyst (Dashboards & EDW) at PureSpectrum

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

16 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, SQL, MongoDB, ETL, Dashboard Development, Data Pipelines, Data Accuracy, Automation, Documentation, API Integrations, Linux Commands, Excel, Google Sheets, Version Control, Market Research

Industry

Market Research

Description

Your Responsibilities: Work with Enterprise Data Warehouse (EDW) and Marketplace data stored in MongoDB to support business reporting and analytics needs. Write and optimize Python scripts for data extraction, transformation, and automation of recurring data processes. Develop and maintain dashboards in Superset to visualize KPIs, operational metrics, and business trends. Build and manage data pipelines for efficient data querying and transformation from multiple data sources. Collaborate with engineering, operations, and leadership teams to fulfill data and reporting requests. Ensure data accuracy, consistency, and reliability across dashboards and automated reports. Identify opportunities to streamline data processes, improve automation, and enhance performance of data workflows. Maintain proper documentation of data sources, scripts, and automation workflows. Assist in defining and maintaining best practices for data access, governance, and security. Stay current with industry trends in data automation, Python scripting, and business intelligence tools. Requirements: Bachelor’s degree in computer science, Information Technology, Statistics, or related field. 3-5 years of experience in data analysis, processing, or related roles. Strong analytical and problem-solving skills. Proficiency in ETL concepts, Python, SQL, and MongoDB. Working knowledge of any dashboard or BI tool such as Superset, Power BI, Tableau, or QlikView. Familiarity with API calls and data integrations. Basic understanding of Linux commands, JavaScript, CSS, and automation scripting. Proficiency in Excel and Google Sheets, including use of advanced formulas or macros. Experience with version control systems such as GitHub or Bitbucket. Ability to write effective AI prompts for automation or data workflows. Market research domain experience is required. Knowledge of SPSS, Quantum, or Decipher tools is an added advantage. Willingness to work in night shifts or flexible schedules as required by global project timelines. PureSpectrum Perks: At PureSpectrum we are continuously focused on our culture, which is rooted in innovation, connection, and providing an exceptional experience at all business levels —what we proudly like to call PSX. We foster a modern, collaborative and inclusive culture that values flexibility, creativity, and open communication. Our team enjoys a competitive compensation and benefits package, including comprehensive health insurance, Provident Fund (PF), and other perks that support overall well-being. We offer a robust leave policy covering casual, sick, and vacation leaves, along with special leaves for key life events. Regular team events, celebrations, and engagement activities strengthen our sense of community and belonging. At PureSpectrum, you’ll find a relaxed yet high-performing workplace where you can grow professionally, build meaningful connections, and truly be yourself. We’re committed to supporting our team both personally and professionally—empowering every team member to thrive inside and outside of work. Diversity & Inclusion PureSpectrum is proud to be an equal opportunity employer. We welcome candidates from all backgrounds and do not discriminate based on race, colour, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other characteristic protected by law.

Responsibilities

The Senior Data Analyst will work with the Enterprise Data Warehouse and Marketplace data to support business reporting and analytics needs. They will develop dashboards, manage data pipelines, and ensure data accuracy while collaborating with various teams.