5 Analytics Consulting Jobs

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.

10+ years of pharmaceutical competitive intelligence experienceVery good understanding of pharmaceutical business from commercial and clinical development perspectives, of global pharmaceutical environment and challenges Possess expertise in 1-2 therapy areas to work as an SME Highly proficient in using Microsoft suite (Excel, PowerPoint and Word) and build visually appealing business reports Proficient in using pharmaceutical databases (Citeline, Trial trove, Factiva etc.) and the ability to judge their appropriate application to the project/business needs Strong analytical skills to grasp problems (complexity, context etc.), see the big picture, conceptualise out of the box solutions Superior communication skills to ensure that the scope of projects/initiatives and expectations are commonly understood Excellent writing and comprehension ability, impeccable attention to detail and QC abilitiesGood organizational, time management and priority setting skills, and the flexibility to multi-task in a fast-paced environment Ability to interface with cross-functional teams on a sound clinical and commercial base Education Qualification:M. Pharm/M.Sc./MBBS/Ph.D/MBA

10+ years of pharmaceutical competitive intelligence experience Very good understanding of pharmaceutical business from commercial and clinical development perspectives, of global pharmaceutical environment and challenges Possess expertise in 1-2 therapy areas to work as an SME Highly proficient in using Microsoft suite (Excel, PowerPoint and Word) and build visually appealing business reports Proficient in using pharmaceutical databases (Citeline, Trial trove, Factiva etc.) and the ability to judge their appropriate application to the project/business needs Strong analytical skills to grasp problems (complexity, context etc.), see the big picture, conceptualise out of the box solutions Superior communication skills to ensure that the scope of projects/initiatives and expectations are commonly understood Excellent writing and comprehension ability, impeccable attention to detail and QC abilitiesGood organizational, time management and priority setting skills, and the flexibility to multi-task in a fast-paced environmentAbility to interface with cross-functional teams on a sound clinical and commercial base Education Qualification:M. Pharm/M.Sc./MBBS/Ph.D/MBA

Position - Associate Director - Delivery Partner (CPG) Experience - 11 to 15 years Location - Chennai/Bangalore/Hyderabad Notice period - Immediate to 30 days Skills Required - Strong CPG domain experience ( at least 4 years into CPG), Pricing Promotion experience , Trade promotions, Strategic Revenue Management, Strategic Client handling exp Team size - Should have handled at least 20+ folks Strong Solutioning expertise is required Role & responsibilities As Delivery Partner Analytics Consulting , you will work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to a set of clientele. In doing so, you will closely collaborate with program leads, technology architects and data scientists across global locations . You will guide the project teams to deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following: Collaborate with internal & key client stakeholders to define advanced analytics roadmaps Identify a pipeline of programs, prioritized based on business value vs complexity Drive analytics solution design & delivery, collaborating with teams of consultants, data scientists and architects. Guide / mentor program leads on applying best practices in delivery through regular reviews Work towards accelerating time-to-value on client programs, while balancing team health Measure and articulate value of solutions to help drive adoption by business teams Drive internal and client governance forums for zero surprises on program health and to articulate value Collaborate with in-market Client Partners to expand Analytics share of client spend in meaningful ways Contribute to organization building through training and mentoring, and by developing assets / best practices . Preferred candidate profile 15+ yrs experience in delivering advanced analytics solutions or services to clients, which includes a good amount of time as a hands-on practitioner. Hands-on experience with (or significant exposure to) commonly used advanced analytic tools & techniques. Demonstrated ability to white-board and transform ideas from high level business problem statements to a sufficiently detailed outline of the solution Ability to guide teams on developing analytics solution blueprints to client problems which balance business context and technical details Ability to analyze pros-and-cons of different analytic options in the context of multitude of business problems, and articulate such choices to technical and business audiences. Ability to build compelling stories from data / model outputs to convey insights to business stakeholders, and drive acceptance & adoption of recommended actions. Confident in communicating with Director / VP level stakeholders, and demonstrate executive presence in interactions with CXO level stakeholders. Ability to drive programs with robust governance mechanisms to ensure programs are reasonably scoped (upfront + evolving), time & effort, cost & value.