Associate Data Analyst at Euromonitor
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Curiosity, Critical Thinking, Problem-Solving, Spreadsheets, Data Analysis, Communication, Data Quality, Collaboration, SQL, Python, R, Web Scraping, Data Visualization, Research, Time Management, Presentation Skills

Industry

Market Research

Description
The Team Catalyst is one of Euromonitor’s centres for data innovation and scalable solutions. We empower clients and teams to unlock the value of foundational data, making insights accessible, actionable, and impactful across industries. Join us to help shape the future of data-driven decision making. We specialise in areas like dynamic market sizing, digital analytics, web scraping, data visualisation, and process automation. As Part of the Foundational Data Group that also includes Analytics, Consumer Insights, Data Science, Data Engineering and Economies & Consumer Analytics, Catalyst has a unified purpose to transform large datasets into actionable insights that are accessible to clients through both syndicated and consulting solutions. We’re committed to continuous learning, supporting your growth with mentorship, training, and opportunities to shape your own career path. Responsibilities: · Work with data in Excel and other data tools to clean, organise, and visualise information. · Find and connect reliable sources; interview industry contacts and experts. · Conduct secondary and primary research to build and validate data, and inform reporting. · Support research by gathering and checking data from websites and databases. · Analyse, fact‑check and tell a clear story with data. · Create reports and presentations for clients and internal teams. · Deliver projects on time through effective time management. · Learn our core data skills so you can use them in in the execution of data methods and frameworks. · Ensure data quality and keep project files organised. · Collaborate with analysts worldwide and take part in team meetings. · Learn new skills and ask questions—your growth matters here. Skills You Bring · Curiosity, critical thinking, and problem‑solving. · Good proficiency with spreadsheets (pivot tables, lookups, charts) and large datasets. · Clear communication and structured writing. · Ability to derive insights from raw, messy data. · A proactive, growth‑focused mindset. · Basic familiarity with SQL, Python, R, CSS selectors, or web scraping (not mandatory). · Ability to learn quickly in an environment with steep learning curves. Nice to Have (But Not Required – You’ll Learn These Here) · Tableau, Power BI, Google Data Studio · Simple SQL or Python for cleaning/analysis · Mixed‑methods or survey research experience Why join Catalyst? · Real impact on global projects. · Skills-based growth and mentorship. · Inclusive, flexible culture. · Commitment to sustainability and ethical practices. · Opportunities to contribute to global, multi‑sector projects. Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more….!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity
Responsibilities
The Associate Data Analyst will work with data in Excel and other tools to clean, organize, and visualize information. They will conduct research, analyze data, and create reports and presentations for clients and internal teams.
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