4 Analytics Consulting Jobs

As a technology-led healthcare solutions provider, our purpose at Indegene is to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. Joining Indegene means embarking on a unique career journey that celebrates entrepreneurship and is fueled by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the intersection of healthcare and technology, visit www.careers.indegene.com. If you are looking to kickstart your career, the first few years are crucial as they lay the foundation for your professional journey. At Indegene, we guarantee a distinctive career experience where you will work at the dynamic crossroads of healthcare and technology while being mentored by industry experts. Our global fast-track career path aligns with Indegene's rapid growth trajectory, offering you immense opportunities for personal and professional development. We are driven by our purpose to enable healthcare organizations to be future-ready, with customer obsession as our core driving force. Our approach is characterized by bold actions, nimble decision-making, and industrious work ethics. **Senior Manager - Data & Analytics** **Responsibilities:** - Manage a variety of commercial analytics projects, focusing on marketing mix, customer, and brand performance analytics with expertise. - Utilize popular analytics tools such as Python/R and statistical/data science packages to deliver diverse analytics projects. - Solve complex analytics problems including customer scoring & affinity modeling, customer segmentation, promotion response & marketing mix modeling, customer journey, NBA, and sales force analytics/SFE. - Execute a range of analytics projects spanning data wrangling, AI/ML, business intelligence, ad-hoc analytics, and complex business operations projects based on client requirements. - Provide technical and business leadership to junior team members, preparing them for increased responsibilities. - Collaborate with team members to drive innovation through automation, new ideas, capabilities, and tools. - Lead client communication by providing regular updates, insights, and recommendations via appropriate channels. - Effectively communicate insights and information to various stakeholders through exceptional oral and written skills. **Desired Profile:** - 8 years of relevant experience. - Proficiency in managing small and large datasets using Excel/VBA, MS Access/SQL Server, Python/R. - Knowledge of statistics and the ability to run predictive/machine learning models in Python/R. - Capability to automate SFE dashboards/processes in Excel/PPT or other platforms per client requirements. - Experience in pharmaceutical commercial analytics is essential. - Strong presentation and communication skills. **Nice to have:** - Experience with data visualization platforms like Tableau, Power BI, QlikView. - Ability to perform advanced analytics analyses such as regression analysis, clustering, time series modeling, etc. Join us in Bangalore, KA, IN, and be part of a team that is shaping the future of healthcare through technology and innovation. At Indegene, we offer equal opportunities for all individuals to thrive and grow in their careers.,

As a Senior Associate at PricewaterhouseCoopers (PwC), you will be part of a team of problem solvers dedicated to addressing complex business challenges from strategy to execution. In this role, you will be expected to leverage your skills and knowledge in various areas, including but not limited to: - Utilizing feedback and reflection to enhance self-awareness and personal growth. - Delegating tasks to provide growth opportunities for team members and coaching them to achieve results. - Demonstrating critical thinking skills and the ability to structure solutions for intricate problems. - Employing a wide range of tools and techniques to derive insights from current industry trends. - Leading day-to-day tasks within the team, assisting in work planning, and ensuring quality, accuracy, and relevance in the work done. - Contributing to practice enablement and business development initiatives. - Learning new tools and technologies as necessary. - Developing and implementing automation solutions aligned with client requirements. - Demonstrating proficiency in selecting and utilizing tools for different situations, with the ability to justify the choice. - Communicating effectively and persuasively while engaging with others. - Adhering to the firm's ethical standards and business conduct guidelines. The ideal candidate for this position should possess the following qualifications and experience: - Dual degree/Master's degree from reputable institutes in fields such as Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, or Mathematics. - 4-7 years of work experience in analytics consulting and/or transaction services with leading consulting organizations. - Experience throughout the entire Deals Cycle, including diligence, post-deal value creation, and exit preparation. In addition to the above, candidates with knowledge and skills in the following areas will be preferred: Business: - Ability to effectively manage stakeholder interactions and relationships, particularly in the US. - Experience in high-performing teams, preferably in data analytics, consulting, and/or private equity. - Strong expertise in Analytics Consulting, with a demonstrated ability to translate complex data into actionable insights. - Proficiency in utilizing business frameworks to analyze markets, evaluate company positioning and performance. - Experience working with alternative data and market datasets to derive insights on competitive positioning and company performance. - Understanding of financial statements, business cycles, diligence processes, financial modeling, valuation, etc. - Experience in a collaborative environment and delivering under time-sensitive client deadlines. - Providing valuable insights by comprehending clients" businesses, industries, and value drivers. - Excellent communication and presentation skills. Technical: - Collaborative, innovative, and resourceful in applying tools and techniques to address client queries. - Ability to synthesize insights and recommendations into concise and comprehensive client presentations. - Proven track record in data extraction, transformation, analytics, and visualization. - Proficiency in tools such as Alteryx, Pyspark, Python, Advanced Excel, PowerBI (including visualization and DAX), and MS Office. - Familiarity with GenAI/Large Language Models (LLMs) is a plus. - Experience in big data and machine learning concepts. - Strong background in utilizing data and business intelligence software to derive actionable insights.,

The Role and Responsibilities We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background (Data Science) Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required : Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Technical Background (Data Engineering) Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.