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manager, sap data scientist

global data scientist

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&amp;S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS).
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS.
 </li>
 <li>
 GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global processes: Global Target Setting (GTS) and Marketing Input Market Outputs -historical product and market review- (MIMO). Order Estimates, BU forecast models, Market sizes/shares, PIE by country/product/segment and Market/segment validation.
 </li>
 <li>
 Collect data and provides sound business and competitor intelligence analyses related to market and trends. Participates with Management to contribute to definition of strategic plans and support relevant implementation.
 </li>
 <li>
 Support the key strategic initiatives of the GPG, collecting feedback and providing insights to improve hit-rate. Assists in the development of business analysis tools to support global, regional, and local marketing &amp; sales teams (eg. STRATOS/Anaplan).
 </li>
 <li>
 Support on the Demand vs supply Orders Received budget mapping (yearly, after GTS). Market Intelligence System (MIS) updates for the GPG. Master Data checks and validation for the related GPG. GPG Product portfolio analysis and support.
 </li>
 <li>
 Develop and implement data analyses, leverage data collection systems and other strategies that optimize statistical efficiency and quality in their GPG. Act as a liaison between HUBs, GPGs and BU, analyzing and interpreting data involving company procedures, policies and workflows.
 </li>
 <li>
 Evaluate key performance indicators (KPIs), provide ongoing reports, and recommend business plan updates. Proactively monitors and strives to maintain high levels of data quality and completeness.
 </li>
 <li>
 Extracting and analyzing data from sales/financial tools and other relevant sources to measure progress of specific activities or milestones for the defined processes and initiatives.
 </li>
 <li>
 Providing ad-hoc analysis based on business needs (channels, segments, geographic areas, top accounts). Developing and maintaining reports and dashboards (including but not limited to Salesforce.com).
 </li>
 <li>
 Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, mathematics, economics or equivalent qualification.
 </li>
 <li>
 Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Ability to write reports and present findings in a professional way (MS power point, excel).
 </li>
 <li>
 Experience in SFDC and PowerBI for developing reports and dashboards. Basic Intermediate statistical knowledge: Linear Regression, Correlation, cross tabs, elementary probability, and intermediate logic would be beneficial.
 </li>
 <li>
 Intermediate change management skills: analysis, conclusion, recommend, present.
 </li>
 <li>
 Good marketing and sales experience (product knowledge and market drivers may help a lot while working on market estimation models).
 </li>
 <li>
 Strong attention to detail and ability to work under tight deadlines. Proactive and self-motivated.
 </li>
 <li>
 Passion, Integrity and Energy. Excellent MS Excel/PowerPoint/SharePoint skills
 </li>
 <li>
 Proficiency in both spoken &amp; written English language is required
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

Global Data Scientist

Infosys Finacle

<div>
 
 Job Description:
 
 
 
 
 Data Scientist AI / RPA
 
 
 
 <ul>
 <li>
 Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages.
 </li>
 <li>
 Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask.
 </li>
 <li>
 Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP.
 </li>
 <li>
 Experience in analyzing the problem statements and coming up with different solutions by creating POC.
 </li>
 <li>
 Must have experience in collecting relevant data as per the problem statement and cleansing the data.
 </li>
 <li>
 Basic knowledge of writing sql queries.
 </li>
 <li>
 Must have knowledge on big data concepts like Hadoop and hive.
 </li>
 <li>
 One should have experience ML programming and analytical skills.
 </li>
 </ul>
 
 
</div>

Senior Analyst - Data Science

Pfizer

<div>
 Pfizer is committed to delivering high-quality, safe, and effective products to those who need them most. Within our Digital division, we foster a science-driven, risk-aware quality culture that supports our mission to improve patient outcomes through innovation and technology.
 
 
 We are seeking a Data Scientist to join the SAP Analytics Enablement (SAE) team. This team is responsible for developing SAP-based operational analytics and machine learning solutions that drive digital transformation across the enterprise.
 
 
 As a Data Scientist and Advanced Analytics Solution Developer, you will play a critical role in designing and delivering analytical products that address complex business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions.
 </li>
 <li>
 Lead the full machine learning lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
 </li>
 <li>
 Analyze large, complex datasets to extract meaningful insights and support decision-making.
 </li>
 <li>
 Develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users.
 </li>
 <li>
 Optimize model performance through hyperparameter tuning and model selection.
 </li>
 <li>
 Continuously enhance models to better align with evolving business needs.
 </li>
 <li>
 Partner with support and operations teams to deploy new and updated analytical solutions.
 
 
 </li>
 </ul>
 
 Strategic Impact
 
 
 
 This role is central to advancing SAE&rsquo;s AI, Data &amp; Analytics strategy by:
 
 
 <ul>
 <li>
 Partnering with high-performing teams across the enterprise
 </li>
 <li>
 Supporting research and innovation initiatives
 </li>
 <li>
 Identifying and applying emerging technology trends
 </li>
 <li>
 Driving measurable value for internal and external stakeholders
 
 
 </li>
 </ul>
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Drive the development and enhancement of Pfizer&rsquo;s SAP Analytics systems, leading hands-on initiatives to deliver cutting-edge digital solutions and fostering innovation throughout the application lifecycle
 </li>
 <li>
 Define and set objectives for the vendor application team&rsquo;s operations, prioritizing resources and planning/deploying solution deliverables to support business requirements
 </li>
 <li>
 Provide technical and application knowledge leadership to the members of the vendor application development team, leveraging technical and functional expertise across multiple disciplines
 </li>
 <li>
 Partner with support and operations teams to share knowledge of Pfizer&rsquo;s new technologies and processes; both to define and implement support requirements and to manage the transition of products and solutions to long-term operations support.
 </li>
 <li>
 Take well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation and change management
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in technical discipline (computer science, engineering, etc.)
 </li>
 <li>
 4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field
 </li>
 <li>
 Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus
 </li>
 <li>
 Experience in Linear Algebra, Probability &amp; Statistics, Multivariate Calculus; programming with SQL, Python
 </li>
 <li>
 Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning
 </li>
 <li>
 Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
 </li>
 <li>
 Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/ algorithms to production
 </li>
 <li>
 Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
 </li>
 <li>
 Ability to present complex information in a clear and concise manner.
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Pharmaceutical industry experience
 </li>
 <li>
 Knowledge of SAP BDC including Datasphere and Databricks
 </li>
 <li>
 Design Replication Flows in Datasphere .
 </li>
 <li>
 Develop and maintain Spaces, Local Tables, Views, Data Flow, Replication Flow, Transformation Flow, DAC, Task Chain, and Intelligent Lookup within SAP Datasphere
 
 
 </li>
 </ul>
 Work Location Assignment: Hybrid
 
 
 Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 Information &amp; Business Tech
</div>

Manager, SAP Data Scientist

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Fiche De Poste
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
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 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
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 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
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 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
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 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
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 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
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 Presents operationalized analytic findings and provides recommendations.
 </li>
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 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
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 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
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 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
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 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
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 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Data Scientist

Cognizant

<div>
 
 Title: Data Scientist
 
 
 
 
 Location: Chennai
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Be a hands on problem solver with consultative approach, who can apply Machine Learning &amp; Deep Learning algorithms to solve business challenges
 </li>
 <ul>
 <li>
 Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
 </li>
 <li>
 Improve Model accuracy to deliver greater business impact
 </li>
 <li>
 Estimate business impact due to deployment of model
 </li>
 </ul>
 <li>
 Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
 </li>
 <li>
 Working with tools and scripts for sufficiently pre-processing the data &amp; feature engineering for model development &ndash; Python / R / SQL / Cloud data pipelines
 </li>
 <li>
 Design , develop &amp; deploy Deep learning models using Tensorflow / Pytorch
 </li>
 <li>
 Experience in using Deep learning models with text, speech, image and video data
 </li>
 <ul>
 <li>
 Design &amp; Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
 </li>
 <li>
 Design and develop Image recognition &amp; video analysis models using Deep learning algorithms and open source tools like OpenCV
 </li>
 <li>
 Knowledge of State of the art Deep learning algorithms
 </li>
 </ul>
 <li>
 Optimize and tune Deep Learnings model for best possible accuracy
 </li>
 <li>
 Use visualization tools/modules to be able to explore and analyze outcomes &amp; for Model validation eg: using Power BI / Tableau
 </li>
 <li>
 Work with application teams, in deploying models on cloud as a service or on-prem
 </li>
 <ul>
 <li>
 Deployment of models in Test / Control framework for tracking
 </li>
 <li>
 Build CI/CD pipelines for ML model deployment
 </li>
 </ul>
 <li>
 Integrating AI&amp;ML models with other applications using REST APIs and other connector technologies
 </li>
 <li>
 Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
 
 </li>
 </ul>
 
 Technology/Subject Matter Expertise
 
 
 
 <ul>
 <li>
 Sufficient expertise in machine learning, mathematical and statistical sciences
 </li>
 <li>
 Use of versioning &amp; Collaborative tools like Git / Github
 </li>
 <li>
 Good understanding of landscape of AI solutions &ndash; cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
 </li>
 <li>
 Develop prototype level ideas into a solution that can scale to industrial grade strength
 </li>
 <li>
 Ability to quantify &amp; estimate the impact of ML models
 
 
 </li>
 </ul>
 
 Soft Skills Profile
 
 
 
 <ul>
 <li>
 Curiosity to think in fresh and unique ways with the intent of breaking new ground.
 </li>
 <li>
 Must have the ability to share, explain and &ldquo;sell&rdquo; their thoughts, processes, ideas and opinions, even outside their own span of control
 </li>
 <li>
 Ability to think ahead, and anticipate the needs for solving the problem will be important
 </li>
 <li>
 Ability to communicate key messages effectively, and articulate strong opinions in large forums
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 
 
 
 
 <ul>
 <li>
 Keen contributor to open source communities, and communities like Kaggle
 </li>
 <li>
 Ability to process Huge amount of Data using Pyspark/Hadoop
 </li>
 <li>
 Development &amp; Application of Reinforcement Learning
 </li>
 <li>
 Knowledge of Optimization/Genetic Algorithms
 </li>
 <li>
 Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
 </li>
 <li>
 Optimize and tune deep learning model for best possible accuracy
 </li>
 <li>
 Understanding of stream data processing, RPA, edge computing, AR/VR etc
 </li>
 <li>
 Appreciation of digital ethics, data privacy will be important
 </li>
 <li>
 Experience of working with AI &amp; Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
 </li>
 <li>
 Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
 </li>
 </ul>
</div>

Tazapay

<div>
 JOB DESCRIPTION: DATA ANALYST (FP&amp;A)
 
 
 Location: Chennai, Bangalore, Delhi
 
 
 
 About Tazapay
 
 
 
 Tazapay is a leading cross-border payments platform, simplifying how businesses conduct global trade. We provide comprehensive payment solutions for collect, hold and payout to empower businesses of all sizes to scale internationally with confidence, without the need to set up local entities or work with multiple payment partners.
 
 
 A single account and integration with Tazapay enables merchants to collect via cards and stablecoins globally, and via local payment methods (like UPI, Pix, PromptPay, etc) and Virtual bank accounts in 70+ markets. Tazapay&rsquo;s platform also enables merchants to manage FX liquidity in 60+ currencies and payout to local bank accounts in 100+ countries.
 
 
 Tazapay is licensed in Singapore and Canada, and is backed by leading global investors such as Peak XV, RTP Global and PayPal.
 
 
 Our mission is to build trust in cross-border commerce by offering a secure, transparent, and efficient payments infrastructure that bridges businesses and customers globally.
 
 
 
 Role Overview
 
 
 
 We are looking for a Data Analyst (Finance) to own the development of financial and business data models that drive decision-making across Tazapay. This is an individual contributor role with project ownership responsibilities &mdash; ideal for someone who wants to build robust, scalable data infrastructure and analytics capabilities within a fast-growing fintech.
 
 
 You will design, build, and maintain data models, ensuring data reliability, transparency, and actionable insights for finance, product, and leadership stakeholders.
 
 
 Key Responsibilities
 
 
 Data Modeling &amp; Infrastructure
 
 
 <ul>
 <li>
 Build and maintain finance and business data marts
 </li>
 <li>
 Translate complex financial and operational logic into well-documented, auditable SQL transformations.
 </li>
 <li>
 Collaborate with FP&amp;A and data engineering teams to ensure model alignment with reporting and forecasting needs.
 </li>
 <li>
 Establish data quality checks and automated validation layers to detect anomalies early.
 
 
 
 </li>
 </ul>
 Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Design and maintain dashboards and reports to monitor product and business performance using Apache Superset, AWS QuickSight, or equivalent BI tools.
 </li>
 <li>
 Conduct deep-dive analyses to uncover drivers of revenue, cost, and margin variance.
 </li>
 <li>
 Own and enhance recurring financial and operational reports used by Finance, Leadership, and Board.
 
 
 
 </li>
 </ul>
 Data Governance &amp; Documentation
 
 
 <ul>
 <li>
 Document data definitions, business logic, and SQL workflows.
 </li>
 <li>
 Ensure data consistency and reproducibility across datasets and dashboards. Project Ownership
 </li>
 <li>
 Lead small data initiatives end-to-end &mdash; from scoping and prioritization to delivery and stakeholder alignment.
 </li>
 <li>
 Partner cross-functionally to translate business problems into data solutions.
 
 
 
 </li>
 </ul>
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors with 4 - 5 years of related work experience
 </li>
 <li>
 Proficiency in SQL, Python, or R for data manipulation.
 </li>
 <li>
 Experience with BI tools (e.g. Power BI, Tableau, QuickSight, Superset) for dashboarding.
 </li>
 <li>
 Experience in ETL processes and working with APIs, data warehouses, or cloud platforms (AWS, Snowflake, BigQuery).
 </li>
 <li>
 Ability to work independently, manage multiple tasks, and collaborate cross-functionally.
 </li>
 <li>
 Experience in payments, fintech, or financial services (Good to have).
 </li>
 <li>
 Exposure to finance or accounting concepts (Good to have).
 </li>
 </ul>
</div>

DATA ANALYST (FP&A)

NielsenIQ

<div>
 
 Company Description
 
 
 
 NielsenIQ is a consumer intelligence company that delivers the Full View&trade;, the world&rsquo;s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.
 
 
 
 Job Description
 
 
 
 We are seeking a highly analytical and detail-oriented FinOps Data Analyst to join our Cloud Financial Operations team. This role focuses on analyzing cloud cost, usage, and consumption data across multiple platforms to uncover insights that drive cost efficiency, application optimization, and strategic decision-making. The ideal candidate will bridge the gap between finance, engineering, and product teams to ensure cloud investments align with business goals and deliver maximum value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets related to cloud cost, usage, and consumption across AWS, Azure, GCP, or other cloud providers.
 </li>
 <li>
 Develop and maintain Power BI dashboards and reports using DAX to monitor cloud spend, usage trends, and anomalies.
 </li>
 <li>
 Perform causality and correlation analysis to understand cost drivers and usage patterns.
 </li>
 <li>
 Identify cloud resource right-sizing and scaling opportunities to optimize performance and cost.
 </li>
 <li>
 Collaborate with application teams to uncover application improvement opportunities based on usage and performance data.
 </li>
 <li>
 Integrate and analyze application reference data and revenue streams to correlate with cloud cost (COGS) and provide actionable insights.
 </li>
 <li>
 Support billing profile optimization and recommend changes to pricing models, reservations, and commitments.
 </li>
 <li>
 Deliver executive-level reporting and presentations that translate complex data into clear, strategic insights.
 </li>
 <li>
 Partner with finance and engineering teams to support forecasting, budgeting, and cost allocation efforts.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Finance, Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in data analysis, cloud cost optimization, or FinOps roles.
 </li>
 <li>
 Strong understanding of cloud platforms (AWS, Azure, GCP) and their pricing models.
 </li>
 <li>
 Proficiency in SQL and Python for data analysis and transformation.
 </li>
 <li>
 Advanced skills in Power BI and DAX for building interactive dashboards and performing complex data modeling.
 </li>
 <li>
 Familiarity with FinOps principles, cloud billing tools (e.g., AWS Cost Explorer, Azure Cost Management), and tagging strategies.
 </li>
 <li>
 Excellent communication skills with the ability to present complex data to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 FinOps Certified Practitioner or similar certification.
 </li>
 <li>
 Experience with COGS modeling and revenue-cost correlation analysis.
 </li>
 <li>
 Knowledge of data warehousing and ETL processes.
 </li>
 <li>
 Experience working in Agile or cross-functional teams.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 <ul>
 <li>
 Strong problem-solving and critical thinking abilities.
 </li>
 <li>
 Detail-oriented with a passion for data accuracy and integrity.
 </li>
 <li>
 Ability to work independently and manage multiple priorities.
 </li>
 <li>
 Collaborative mindset with a proactive approach to stakeholder engagement.
 
 
 </li>
 </ul>
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
</div>

FinOps Data Analyst

Explore 64+ Global data scientist in Chennai this November. Find roles across top companies and apply now to boost your career.

64 global data scientist jobs IN Chennai

Global Data Scientist

Senior Analyst - Data Science

Manager, SAP Data Scientist

Data Scientist

Data Scientist

DATA ANALYST (FP&A)

FinOps Data Analyst