Data Analyst
Bengaluru, India
Momentive
Easily create surveys and forms with AI and templates for employee and customer feedback, market research, event registrations and more. Get started free.SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.
Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.
What we’re looking for
As a Data Analyst at SurveyMonkey, you'll be at the forefront of transforming complex data into crystal-clear, actionable insights, directly impacting the evolution and success of the SurveyMonkey core product. You'll play a crucial part in optimizing our product and features for maximum impact, and elevating overall customer satisfaction to new heights. Collaborating closely with innovative product managers, talented engineers, dynamic marketing professionals, and dedicated customer success professionals, you'll uncover critical trends, precisely measure the success of our initiatives, and directly contribute to shaping our data-informed strategic direction. This is an exciting opportunity to make a tangible difference in how we understand and serve our customers.
What you’ll be working on
- Analysis & Reporting: Conduct in-depth analysis of product data from various sources to identify product usage, feature adoption, key trends, patterns, and insights.
- A/B Testing & Experimentation: Work with the Product team to design, execution, and analysis of A/B tests and other experiments to measure the impact of new features or product changes on key metrics.
- Storytelling: Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical audiences.
- Ad-hoc Analysis: Respond to urgent business questions with timely and accurate data analysis.
- Stakeholder Collaboration: Partner with cross-functional teams (Product, Engineering, Marketing, Sales, Customer Success) to understand their data needs, define KPIs, and provide data-driven recommendations.
- Dashboard & Visualization: Design, build, and maintain interactive dashboards and reports using tools Tableau to visualize data and communicate insights effectively to stakeholders.
- Data Collection & Management: Work with the Data Engineering team and Business Intelligence team to ensure accurate collection of data and troubleshoot any data abnormalities.
We’d love to hear from people with
- 5+ years of work experience in data analysis/reporting/analytics or other relevant fields in a tech company.
- Proficiency in SQL for data extraction and manipulation is a must.
- Experience with large datasets and big data technologies (e.g., Snowflake, BigQuery, AWS Redshift).
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Google Data Studio).
- Experience with Product Analytics tools such as Amplitude, Mixpanel or equivalent.
- Understanding of statistical concepts (e.g., hypothesis testing, regression analysis).
- Project Ownership: Proven ability to lead and own data analysis projects from end-to-end with minimal supervision, consistently driving insightful outcomes and actionable recommendations.
- Analytical Mindset: Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Communication: Excellent verbal and written communication skills, with the ability to tell a story with numbers clearly and persuasively to diverse audiences, not just perform a task.
- Business Acumen: Ability to understand business objectives and translate them into analytical questions and insights.
Nice to Have
- Familiarity with Python data analysis.
- Experience with customer feedback platforms or survey data.
- Familiarity with Subscription Product & Self-Service Funnels, especially metrics. Design, product feature analytics, and A/B testing methodologies.
SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week.
#LI - Hybrid
Why SurveyMonkey? We’re glad you asked
SurveyMonkey is a place where the curious come to grow. We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service, learning and development opportunities like Curiosity Week, and our C.H.O.I.C.E Fund.
Our commitment to an inclusive workplace
SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Amplitude AWS Big Data BigQuery Business Intelligence CX Data analysis Data Studio Data visualization Engineering Excel KPIs Looker Market research Power BI Python Redshift Research Snowflake SQL Statistics Survey data Tableau Testing
Perks/benefits: Career development
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