Senior Analyst

Job Title : Senior Analyst / Data Scientist - Data Science
Location
:
Chennai

Work Mode
: 5 Days Work from office

Who We Are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified , recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role? What your typical day would look like?
As a
Data Scientist
,

• You'll be responsible for providing deep analytical insights and developing predictive models to drive key business decisions. In doing so, you will closely collaborate with business stakeholders, technology teams, and other analysts across global locations.
• Utilize expert-level SQL to query, extract, manipulate, and join large, complex datasets from various sources (e.g., CRM, Web Analytics, Ad Platforms).
• Perform robust data cleaning and transformation for marketing attribution and segmentation models.
• Develop, maintain, and execute statistical programs and models using SAS (Base SAS, SAS Macros, SAS/STAT) for Modeling promotional effectiveness, and forecasting market response.
• Leverage Python(using libraries such as Pandas, NumPy, Scikit-learn) to develop and deploy advanced predictive models for Customer Lifetime Value (CLV), churn prediction, and next-best-offer recommendations.
• Design, execute, and analyze A/B tests and multivariate experiments for digital campaigns, landing pages, and product features, using causal inference techniques to measure incremental impact.
• Create ,automate, and rationalize recurring reports and interactive dashboards (e.g., using Tableau/Power BI) to track key marketing KPIs (e.g., CPA, LTV, ROI) and channel performance.
• Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
• Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
• Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life.

What do we expect?

• 3 - 7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
• Must-Have Skills: SAS, SQL, Modelling, Python. Proficiency in these key skills is crucial to thriving in this role.
• Good to have Skills: BFS exposure, Snowflake
• Good communication skills, both verbal and written.

You are important to us, let's stay connected
Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note:
The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities

External Skills And Expertise