250 Analytics Manager jobs in Chennai

Job description

Key Responsibility Area:

 ( Specifies Key Result Areas for the Incumbent )

o Overall responsibility for servicing clients on Analytics/Advisory and managing the analytics team. 

o Hands on advanced knowledge of analytical techniques, advanced knowledge of SQL or other structured language, advanced knowledge of Excel. 

o Design and develop analytics products and services.

o Works closely with the Client(s) on scorecards, advisory and modeling. 

o Develop models and use analytics for refined data capturing and analysis. 

o Provide leadership to the analytics team and assist the leadership to deliver results, business goals and commitments. 

o Financial Services/ Consumer banking business(preferred) - with extensive analytics orientation. 

o Work on processes to continuously update rules/procedures to optimize results & manage day-today activities with the team. 

o Support various special project assignments. 

o Assist in the enforcement of MIS & Data governance policies 

Eligibility Criteria: (Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.) 

o Proven track record with database languages & Reports (e.g., SQL, SSRS) and strong Python skills and visualization tools (both Tableau & PowerBI). 

o Well versed with MS Excel – advanced VBA & DAX o Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 

o Good to have conceptual or working knowledge of Machine Learning & AI, cloud platforms (e.g. AWS, GCP, Azure) 

o Minimum capable of handling 15-20 Data Analyst. 

o Very strong Self learning capabilities to learn new technologies faster & guiding others 

o In-depth knowledge of complex and very complex Python and SQL codes, along with the proficiency to refactor them. 

o PMI-PMP/PRINCE 2 certification or trained will be preferred BEHAVIORAL SKILLS: (Attitude, Aptitude and Abilities) 

o Experience articulating and translating business questions to analytical solutions. 

o Ability to handle and structure analysis independently. 

o Comfortable with numerical and quantitative calculations and analysis. 

o Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. 

o Excellent verbal and written English language communication skills 

o Strong Leadership & collaboration with Team 

o Strong skill set in team building, employee development, and delegation 

o Must have strong in assertiveness, emotional stability, openness, goal orientation, fostering innovation, and being optimistic

Designation: Analytics Manager

About the Role:

We are seeking an Analytics Manager to lead the integration of digital and real-world data for a large-scale political campaign in Punjab. The role will involve designing frameworks to collect, analyze, and structure data so it can be effectively used for campaign targeting, paid media, push emails, and voter outreach. The ideal candidate will have a strong grasp of Punjab’s demographic and political landscape, expertise in social and digital analytics, and the ability to translate raw data into actionable campaign strategies.

Years of Experience Required: 5–7 years in analytics, digital research, or campaign data strategy

Type: Work from Office (Mohali/Chandigarh)

Language & Cultural Requirement:

• Ability to read and interpret Punjabi (essential for accurate data analysis and insights)
• Strong understanding of Punjab’s socio-political and demographic realities
• Proficiency in Hindi and English for cross-team collaboration and reporting

Key Responsibilities

Data Integration & Strategy

• Develop frameworks to marry digital listening data with ground-level research and demographic information.
• Create scalable systems for structuring voter and campaign data to enable downstream use in paid media, push emails, and targeted outreach.
• Establish clear taxonomies, categories, and processes to ensure data is accessible, retrievable, and actionable.

Social & Political Analysis

• Lead analysis of online sentiment, conversations, and trends, contextualizing them with voter behavior, caste/community demographics, and local issues.
• Build models to identify voter micro-segments and recommend targeted strategies.
• Surface insights that help the campaign refine messages and optimize channel mix.

Insight Generation & Application

• Translate large volumes of raw digital and field data into actionable insights for media planning, messaging, and outreach teams.
• Provide recommendations on where and how to deploy paid media spends for maximum resonance and efficiency.
• Support creation of dynamic audience segments for personalized campaign interventions.

Reporting & Visualization

• Develop advanced dashboards, trackers, and periodic reports for campaign leadership.
• Present insights clearly, highlighting not just what is happening but why it matters and how to respond.
• Ensure data-driven recommendations are tied to real-world campaign objectives and voter engagement outcomes.

Operations & Quality Control

• Set standards for data collection, classification, and integration across teams (social listening, field research, CRM, outreach).
• Ensure accuracy, consistency, and timeliness of reporting.
• Recommend process improvements, tool adoption, and automation opportunities for data management.

Core Competencies

• Analytical Expertise: Strong skills in quantitative and qualitative data analysis; experience with tools such as SQL, Power BI, Tableau, or equivalent.
• Social Listening & Digital Knowledge: Proficiency with tools like Sprinklr, Talkwalker, Brandwatch, or equivalent; ability to interpret online data.
• Demographic Understanding: Deep knowledge of Punjab’s socio-political demographics, voter behavior, and local issues.
• Strategic Thinking: Ability to design systems that connect insights to actionable campaign strategies.
• Communication: Strong skills in presenting complex data in simple, clear narratives for decision-makers.
• Organizational Rigour: Ability to set up processes, ensure data hygiene, and manage cross-functional integration.
• Agility: Comfortable working in a fast-paced, high-stakes political environment with evolving priorities.

This is a 12-month contractual position based in Mohali/Chandigarh, with the possibility of renewal based on performance and project requirements.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.

In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What Makes This Role Exciting?

• Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
• Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
• Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
• Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success

What You’ll Do

• Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
• Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
• Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
• Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
• Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
• Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning

Essential Criteria

• 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
• Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
• Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
• Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
• Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
• Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
• Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
• Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
• Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.

Why Join Prospection?

• Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
• Growth : Be part of a rapidly scaling company with career advancement opportunities.
• Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re hiring an Analytics Manager to join our fast-growing team. This player-coach role blends team leadership , client management , and hands-on analytics. You’ll apply advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.

In this role, you will lead and mentor a team of consultants, partner closely with our Client Solutions team and pharma stakeholders to clarify problems , design solutions, deliver analytical work , and present actionable insights . We’re looking for someone adept, flexible, and hungry - a manager who thrives on tackling complex pharma challenges end-to-end and driving measurable results

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning , predictive modelling , and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What Makes This Role Exciting?

• Be an early member of the India Analytics Centre of Excellence Team (COE) and play a key role in shaping its vision, standards, and ways of working.
• Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge
• Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of Prospection’s products .
• Take end-to-end ownership by combining people management responsibilities with a hands-on analytics role , driving meaningful results and team success

What You’ll Do

• Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
• Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
• Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
• Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
• Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
• Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Lead and mentor a team of consultants , setting strategic direction while actively contributing to delivery. Foster collaboration, drive high-quality outcomes, and build a culture of analytical excellence and continuous learning

Essential Criteria

• 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
• Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path.
• Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
• Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
• Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
• Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
• Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed
• Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
• Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.

Why Join Prospection?

• Impact : Work on projects that improve healthcare delivery and patient outcomes globally.
• Growth : Be part of a rapidly scaling company with career advancement opportunities.
• Culture : Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Key Responsibilities:

• Lead end-to-end consulting projects focused on patient analytics, including scoping, planning, and delivery.
• Analyze claims data to provide strategic insights, such as patient journey mapping, adherence trends, and segmentation.
• Oversee the development of Tableau dashboards and other visual tools to support client decision-making.
• Act as the primary point of contact for clients, ensuring their needs are met and fostering long-term partnerships.
• Mentor and develop team members, fostering a culture of continuous learning and growth.

Qualifications:

• Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, or Healthcare Management).
• 6+ years of experience in US Pharma consulting, with a strong focus on patient analytics and claims data.
• Advanced expertise in Tableau for creating high-impact dashboards and visualizations.
• Demonstrated experience leading teams and managing client engagements.
• Exceptional problem-solving, organizational, and communication skills.
• Good to Have: Experience with Dataiku for advanced analytics and machine learning applications.