Data & Analytics Consultant

Join Nium as a Data & Analytics ConsultantAt Nium, we are at the forefront of revolutionizing global payments with our state-of-the-art real-time cross-border payment solutions. Our mission is to create a seamless payments infrastructure that empowers banks, fintechs, and businesses across the globe to manage their funds efficiently and instantly. With a payout network that supports 100 currencies and spans over 190 countries, we are transforming how businesses transact across borders. As a rapidly growing company with regulatory licenses in more than 40 countries, we are committed to delivering innovative financial solutions that meet the needs of our clients.About the Role:The Data & Analytics Consultant is responsible for driving data-driven decision-making across the organization. In this role, you will harness your expertise in data modeling, trend analysis, and actionable insights to enhance operational efficiency and support strategic initiatives. Collaborating with cross-functional teams, you will design and implement data solutions while contributing to data governance efforts to ensure data quality and effective communication of findings to stakeholders.

Join Nium as a Data & Analytics Manager and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee data analysis initiatives, guiding a talented team to innovate and optimize our data strategies. Utilize cutting-edge analytics tools to drive business growth and improve decision-making processes. Collaborate with cross-functional teams to implement data-driven solutions that enhance our client's experience.

Role Overview Experian is hiring a Data Modeler II for its Advanced Analytics team in Mumbai. This role focuses on turning complex data into clear, useful insights that support business decisions. What You Will Do Work with teams across the company to gather and clarify data requirements Design and build scalable data models and architectures Help maintain data integrity and make sure information is accessible to those who need it About the Team Join a group committed to using analytics to drive innovation and improve how decisions are made at Experian.

Role OverviewAs a Credit Data Scientist at Tyme, you will leverage data analytics, feature engineering, and experimentation to enhance credit decision-making and optimize portfolio performance across our diverse lending products and markets. Your role will encompass everything from data exploration to the deployment of production-ready features, alongside continuous monitoring and impact assessment.Key Responsibilities· Analyze customer, bureau, transactional, and repayment data to identify key risk factors, loss drivers, approval rates, and customer outcomes.· Develop and refine credit risk features and model inputs (such as behavioral signals and affordability proxies), collaborating closely with senior modellers and the engineering team.· Contribute to the advancement and enhancement of predictive models using cutting-edge machine learning techniques, focusing on robustness, stability, and deployment readiness.· Design, implement, and assess credit policy experiments (including cut-offs, limits, and pricing/risk trade-offs), followed by thorough post-implementation evaluations.· Establish monitoring mechanisms for model/policy performance and feature integrity (addressing drift, stability, segment performance, and data quality checks).· Assist in portfolio analytics by conducting vintage analyses, roll-rate assessments, migration tracking, early warning indicators, collections funnel analytics, and loss driver investigations.· Collaborate with the Data/Engineering teams to enhance data definitions, quality, lineage, and reproducibility of pipelines; document feature logic and assumptions effectively.· Contribute to the governance documentation, including model inputs, feature catalogs, monitoring evidence, and change logs.

About WPP MediaWPP is the trusted growth partner for the world’s leading brands. By harnessing exceptional talent, reliable data, and strategic partnerships—united under our innovative marketing platform, WPP Open—we assist clients in navigating change, seizing opportunities, and achieving transformative growth.WPP Media, as WPP's AI-driven media operating unit, integrates media, data, and partnerships to deliver tailored creative solutions at scale. With the connectivity of WPP Open and the power of Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.Role OverviewThe Analytics Manager plays a pivotal role in our analytics team, reporting directly to the Director of Analytics. This position involves designing, customizing, and maintaining platforms that facilitate business analytics and measurement. Candidates should possess outstanding communication skills, a client-centric mindset, and the ability to work effectively both independently and collaboratively with minimal supervision.The Analytics Manager will execute data manipulation and visualization, conduct quantitative data analyses, engage in problem-solving, perform statistical modeling, and develop and assess business cases.

Join NielsenIQ as a Lead Data Scientist, where you will play a pivotal role in leveraging advanced data analytics to drive business decisions. You will collaborate with cross-functional teams to develop predictive models, interpret complex data sets, and provide insights that support strategic initiatives. This is an exciting opportunity for data enthusiasts looking to make a significant impact within a dynamic team.

Join our dynamic team at Weblee Technologies as a Data Visualization Engineer. In this role, you will leverage your expertise to transform complex data into meaningful insights through interactive and engaging visualizations. You will work closely with data analysts and stakeholders to understand their needs and deliver actionable visual solutions that drive data-informed decisions.

As a Senior Data Acquisition Specialist at Experian, you will play a pivotal role in leveraging data to drive business insights and enhance decision-making processes. You will be responsible for acquiring, managing, and analyzing large datasets that aid in developing innovative solutions for our clients. Your expertise in data strategies and analytics will be crucial in ensuring the integrity and quality of our data assets.

Welcome to Blue Altair!About Us:Are you ready to take your place in tomorrow's AI landscape?At Blue Altair, we regard each team member as a shining star, bringing unique skills and perspectives that enhance our collective brilliance. Like stars lighting up the night sky, our professionals illuminate the realms of business and technology with their talent, creativity, and unwavering commitment.Founded in 2015, Blue Altair is a forward-thinking consulting firm that harnesses innovative technologies to facilitate AI and drive digital success for our clients. Our offerings encompass Assessment and Strategy, Technology Implementation, and Managed Services, focusing on API Management and Integration, Data Management, Digital Application Development, and Artificial Intelligence. We take pride in surpassing industry benchmarks for project success, thanks to our specialized expertise in program and project management, business analysis, and quality assurance.Joining Blue Altair means becoming a vital part of a lively, dynamic team that fosters digital transformation and empowers clients to navigate the AI revolution. Each role contributes to shaping the digital future and creating a tangible impact. If you're a star eager to shine even brighter, we look forward to welcoming you to Blue Altair—where we’re not just transforming businesses but crafting the AI universe, one star at a time!

Role overview Experian is seeking a Senior Data Modeler based in Mumbai. This role centers on designing and building data models that power analytics and business intelligence efforts. Collaboration is key, as the Senior Data Modeler partners with teams throughout the company to turn complex information into insights that inform strategy and decision-making. What you will do Design and implement data models that support a range of analytical solutions Collaborate with cross-functional teams to gather data requirements and align with business objectives Transform large, complex datasets into organized structures that make insights accessible and actionable Contribute to data-driven initiatives and help strengthen the organization’s use of analytics

Job Summary: Join us at Jiostar as a Director of Data Science, where you will spearhead innovation and analytics across our research, marketing, scheduling, and sales teams. This pivotal role involves leading the development of sophisticated machine learning models utilizing extensive and intricate data sets. A robust background in data analysis, proficiency in building and deploying machine learning algorithms, and a solid command of Python or R, along with statistical knowledge, are vital for success in this position.

Role overview This Data Scientist position at NielsenIQ in Mumbai centers on applying artificial intelligence to real business challenges. The role involves analyzing data to extract insights and support the development of new solutions. Collaboration is key in this job. The Data Scientist works alongside teams from various departments to design and build AI models that help drive better decision-making and improve business results. What you will do Analyze data to identify patterns and generate insights Develop and implement AI models for business applications Work with cross-functional teams to support smarter decisions and enhance outcomes Location This role is based in Mumbai.

Role Overview Weekday's client is seeking a Lead Data Scientist for a full-time position based in Mumbai, Maharashtra, India. This leadership role calls for at least 8 years of experience in data science, with a strong track record in model development and business impact. Main Responsibilities Lead advanced analytics projects across the full data science lifecycle, from problem definition to solution delivery. Design, build, and implement scalable machine learning models that provide actionable insights and drive business outcomes. Collaborate with teams from product, engineering, marketing, and business to identify opportunities and translate them into analytical solutions. Guide the development of predictive and prescriptive models using both structured and unstructured data. Select appropriate algorithms, perform feature engineering, and validate models through rigorous testing. Apply a range of machine learning techniques, including supervised and unsupervised learning, ensemble methods, and advanced statistical modeling. Develop and deploy propensity models to predict customer behavior such as purchase likelihood, churn, conversion, and engagement. Support personalized marketing, customer segmentation, and revenue growth through data-driven modeling. Mentor and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Establish and uphold best practices for model governance, documentation, and lifecycle management. Requirements Minimum 8 years of experience in data science, with proven expertise in model building and development. Hands-on experience with propensity modeling in real-world business settings. Proficiency in a variety of machine learning approaches and statistical modeling techniques. Strong ability to translate business needs into analytical solutions. Experience mentoring and leading technical teams. Location and Employment Type Location: Mumbai, Maharashtra, India Job Type: Full-time

As a Big Data Architect, you will play a pivotal role in designing and implementing robust big data solutions that empower our clients to leverage data for strategic decision-making. You will work closely with cross-functional teams to understand client requirements and translate them into scalable architecture solutions.

We are seeking an experienced Lead Data Modeler specializing in Teradata to join our dynamic team in Mumbai or Bangalore. This pivotal role involves crafting comprehensive data models that align with business needs, ensuring optimal data architecture and performance.As a Lead Data Modeler, you will primarily work with Teradata, implementing industry-standard models such as iLDM. You will engage deeply with stakeholders to understand their requirements, translate them into Conceptual Data Models, and customize models to fit various business scenarios.Your responsibilities will also include converting business definitions into Logical Data Models (LDM) and Physical Data Models (PDM), as well as designing technical solutions for data modeling standards and end-to-end mapping processes.

The OpportunityWe are seeking a passionate Data Scientist to drive growth through sophisticated analytics and machine learning methodologies. This pivotal role merges marketing performance, product enhancement, and decision-making science.You will collaborate extensively with teams in Paid Media, Product, and Engineering to develop models, extract insights, and shape strategies for user acquisition, retention, and monetization. Your expertise will impact our campaigns, user segmentation, and funnel optimization, directly influencing our growth trajectory.This position is perfect for a results-oriented individual who values business impact, communicates effectively, and aspires to create scalable, production-ready insights rather than merely conducting ad-hoc analyses. Your ResponsibilitiesMarketing & Revenue ModelingLead comprehensive modeling of LTV, user segmentation, retention, and marketing efficiency to guide media optimization and value attribution.Work alongside Paid Media and RevOps to enhance SEM performance, forecast high-value cohorts, and inform strategic bidding and targeting.Product & Growth AnalyticsPartner with Product Insights and General Managers (GMs) to establish key metrics, KPIs, and success frameworks for product launches and features.Perform in-depth analyses of user behavior, funnel performance, and product engagement to derive actionable insights.Continuously monitor and interpret shifts in key product metrics, diagnosing root causes and assessing business implications.Collaborate with Data Engineering to create and sustain scalable data pipelines that facilitate machine learning operations, model retraining, and real-time inference.Predictive Modeling & Machine LearningDevelop predictive models for conversion, churn, revenue, and engagement utilizing regression, classification, or time-series methods.Identify avenues for prescriptive analytics and automation within critical product and marketing processes.Assist in the creation of reusable ML pipelines for large-scale applications in product recommendation, lead scoring, and SEM strategy.Collaboration & CommunicationDeliver insights and recommendations to a diverse range of stakeholders — from individual contributors to executives — in a clear and persuasive manner.Translate business challenges into data-driven solutions and complex findings into strategic action plans.Engage cross-functionally with Engineering, Product, BI, and Marketing to ensure the successful implementation of your work.

Join Nielsen Company as a Senior Data Analyst I specializing in Survey Programming. In this role, you will be pivotal in analyzing and interpreting data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement surveys, ensuring data accuracy and integrity. Your expertise will contribute to enhancing our analytical capabilities and delivering actionable insights.

Job Summary: Join our dynamic team at Jiostar as an Associate Director of Data Science, where you will spearhead innovative analytics initiatives across our research, marketing, scheduling, and sales departments. In this pivotal role, you will oversee the creation and implementation of cutting-edge machine learning models, harnessing vast and intricate datasets. Candidates must possess a robust background in data analysis, demonstrated expertise in developing and deploying machine learning algorithms, and a strong command of Python/R as well as statistical methodologies.

Position: Data AnalystLocation: Mumbai, IndiaAbout LRN:LRN stands as the foremost global provider of dedicated ethics and compliance SaaS solutions, empowering over 30 million individuals annually to navigate the complexities of regional and global regulatory frameworks while fostering ethical, responsible cultures. With a robust client base of over 3,000 organizations spanning the US, EMEA, APAC, and Latin America—including some of the most esteemed and successful brands globally—we take pride in being the trusted partner committed to mitigating organizational risk and enhancing principled performance.Recognized by Inc. Magazine as one of the 5000 Fastest-Growing Companies, LRN is transforming the way businesses translate values into actionable strategies. Our cutting-edge platform integrates intuitive design, mobile accessibility, comprehensive analytics, and industry benchmarking, enabling organizations to effectively create, manage, deliver, and audit ethics and compliance programs with assurance. Leveraging a unique combination of technology, education, and expert guidance, LRN assists companies in translating their values into tangible behaviors and leadership practices that yield a sustainable competitive edge.About the Role:We are in search of a meticulous and commercially savvy Data Analyst to bolster LRN’s Commercial Strategy function. This pivotal role centers around analyzing data and distilling it into clear, structured insights that guide decision-making in areas such as pricing, go-to-market strategies, and revenue performance.You will be instrumental in supporting fundamental commercial processes, including price book management, win/loss analysis, and performance monitoring, ensuring that data is precise, well-organized, and actionable.Thriving in a dynamic and evolving environment, you will collaborate closely with stakeholders across Sales, Product, and Finance, adapting to shifting business priorities while maintaining a strong analytical foundation.

Jiostar India Private Limited, a premier player in the entertainment industry, is on the lookout for a talented and driven Data Analyst with a focus on social media video analytics. This pivotal role involves deriving actionable insights from YouTube and Facebook video metrics, thereby shaping strategic business decisions and improving our digital video performance. The ideal candidate will exhibit a robust analytical mindset, demonstrate expertise in data analytics tools, and possess a fervor for utilizing data to propel business success. This is a full-time position located in Mumbai, India. Key Responsibilities: Data Collection and Processing:Design and execute comprehensive data collection strategies for YouTube and Facebook video content.Extract, clean, and prepare video/asset-level data to ensure precision and reliability. Data Analysis and Interpretation:Conduct thorough analyses of video performance metrics such as views, engagement, reach, and audience demographics.Spot trends, patterns, and correlations within the data to yield actionable insights.Execute A/B testing and cohort analyses to assess the effectiveness of various content strategies. Reporting and Visualization:Develop visually engaging dashboards and reports that communicate key findings to stakeholders.Create automated reporting frameworks to simplify the distribution of analytics reports.Work alongside cross-functional teams to advocate data-driven decision-making throughout the organization. Performance Monitoring and Optimization:Continuously monitor the performance of YouTube and Facebook video content in real-time utilizing JioHotstar analytics.Uncover optimization opportunities and propose strategies to boost engagement and viewership.Track KPIs and metrics to evaluate the impact of content initiatives and marketing campaigns. Competitive Analysis:Perform benchmarking studies to contrast Jiostar's social media video performance with industry competitors.Examine competitor strategies and market trends to pinpoint opportunities for differentiation and innovation. Data Governance and Compliance:Ensure adherence to data privacy regulations and best practices in data governance.Establish data quality checks and validation processes to uphold data integrity and security.