Senior Data Analyst

Overview

Senior Data Analysts collect, process and analyze large datasets to provide insights and support informed decision-making for clients. They are responsible for strategy, implementation, productionization and articulation of business impact, while collaborating with cross-functional teams and communicating findings to technical and non-technical stakeholders.

What you'll do

• Perform data extraction and modeling to generate insights and make recommendations for the business.
• Support the definition and construction of KPIs that best represent clients' business performance and assist in decision-making processes.
• Develop and maintain strategic dashboards, reports and KPIs.
• Use storytelling practices for effective dashboard construction.
• Build solutions and validate hypotheses through comprehensive data analysis.
• Design, conduct and measure qualitative and quantitative research.
• Create proposals and conduct A/B tests.
• Conduct ad-hoc studies as needed.
• Connect with stakeholders to understand database structures, apply necessary business rules and share analysis methods and methodologies.
• Collaborate with cross-functional teams and communicate findings to technical and non-technical stakeholders.
• Stay up-to-date with industry advancements and ensure data quality and security.
• Coach, mentor and motivate other Thoughtworkers.

What you'll need

• Experience in analytics and business intelligence projects.
• Coding experience in Python.
• Expertise in self-service BI tools, i.e.: Power BI, Tableau, Looker, etc.
• Proficiency in Excel or Google Sheets.
• Strong data visualization practices with relevant tools.
• Proficiency in database management, either relational or non-relational.
• Advanced knowledge in SQL, Python or R.
• Ability to clean, prepare and analyze big data, both structured and unstructured.
• Exploratory, qualitative and quantitative analysis skills.
• Experience with research techniques and satisfaction indicators.
• Ability to identify patterns, actionable insights and relationships in data.
• Great stakeholder management skills and ability to build rapport and gain buy-in from clients and key stakeholders.
• Ability to solve problems, thrive in ambiguity, tackle challenges from various angles and embrace risk management.
• A data-driven approach, seeking opportunities to leverage data for efficiency and value, and actively collaborating to drive data-based decisions.
• Strong communication skills and ability to present findings to technical and non-technical audiences.
• Ability to be a team player and actively collaborate with colleagues and other teams.
• Eagerness to coach, mentor and motivate others, and aspiration to influence teammates to take positive action and accountability for their work.

Details

• Location: Bangalore, India.
• The listing includes the #LI-Hybrid designation.