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business analyst- 4+yrs  data governance domain Jobs in Mumbai

business analyst- 4+yrs  data governance domain

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data engineer-business intelligence

data scientist

HDFC Bank

<div>
 
 
 Vertical : Credit analytics and innovation
 
 
 
 
 Job Purpose
 
 
 
 Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.
 
 
 
 
 
 Job Responsibilities(JR) : 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 
 &middot; Scorecard Building and Modelling
 
 
 
 
 &middot; Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers
 
 
 &middot; Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank&rsquo;s strategies so as to gain maximum efficiencies.
 
 
 &middot; Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.
 
 
 &middot; Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure
 
 
 
 
 &middot; Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models
 
 
 
 
 &middot; Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders
 
 
 
 
 &middot; To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies
 
 
 &middot; To work on various aspects related to automation of scorecards in Analytics domain.
 
 
 
 
 &middot; Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives
 
 
 
 
 &middot; Innovation
 
 
 &middot; Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.
 
 
 &middot; Any other assignments depending on the needs of the organization
 
 
 
 
 
 Educational Qualifications
 
 
 
 
 Key Skills
 
 
 
 
 
 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred
 
 
 &middot; Excellent problem solving capabilities with strong fundamentals in computer science
 
 
 &middot; Strong technical &amp; analytical skills
 
 
 &middot; Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms
 
 
 &middot; Strong written and verbal communication skills
 
 
 &middot; Excellent knowledge of current trends in the field of machine learning/analytics field
 
 
 
 Experience Required
 
 
 <ul>
 <li>
 Experience of 2+ years in analytics/predictive modeling/machine learning
 </li>
 <li>
 Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models
 </li>
 <li>
 Exposure to banking preferable
 </li>
 </ul>
 
 
 
 
 Major Stakeholders
 
 (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
 
 
 &middot; Credit Policy
 
 
 &middot; Underwriting
 
 
 &middot; Process
 
 
 &middot; Fraud Control
 
 
 &middot; Product
 
 
 &middot; Credit Bureaus
 
 
 &middot; Third Party Analytics Service Providers
 
 
 &middot; IT
 
 
 &middot; Legal
 
 
 &middot; Information Security
 
 
 
</div>

Data Scientist

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 The team
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

JPMorganChase

<div>
 
 Job Description
 
 
 
 We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business.
 
 
 As a Data Science Associate within the Card Data and Analytics team, you will leverage skills in building insights from advanced analytics, Gen AI / LLM tools, analysis, data querying, and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, and machine learning/AI, proficiency in SQL/Python programming, visualization methods, and technologies.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
 </li>
 <li>
 Support development of data science / AIML use cases for the Card business.
 </li>
 <li>
 Help partners in the Card business define their business problems and scope analytical solutions.
 </li>
 <li>
 Build an in-depth understanding of the Card domain and available data assets.
 </li>
 <li>
 Research, design, implement, and evaluate analytical approaches and models.
 </li>
 <li>
 Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
 </li>
 <li>
 Communicate findings and obstacles to stakeholders to drive delivery to market.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant quantitative field required in an analytical field (e.g., Statistics, Economics, Applied Math, Operations Research, other Data Science fields).
 </li>
 <li>
 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
 </li>
 <li>
 Exceptional analytical, quantitative, problem-solving, and communication skills.
 </li>
 <li>
 Excellent leadership, consultative partnering, and collaboration across teams.
 </li>
 <li>
 Knowledge of statistical software packages (e.g., Python) and data querying languages (e.g., SQL).
 </li>
 <li>
 Experience across a broad range of modern analytics tools (e.g., Snowflake, Databricks, SQL, Spark, Python).
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Understanding of the key drivers within the credit card P&amp;L is preferred.
 </li>
 <li>
 Financial services background preferred, but not required.
 </li>
 <li>
 Master&rsquo;s degree or equivalent in an analytical field.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.
 
 
 The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
</div>

Data Scientist Associate - AI/ML, Python

Citi

<div>
 Institutional Credit Management&rsquo;s (&ldquo;ICM&rdquo;) objective is to provide an integrated &ldquo;end-to-end&rdquo; credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. In-Business Quality Assurance is an integral part of the ICM organization.
 
 
 The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.
 
 
 The ICM In-Business Quality Assurance - Business Risk Analyst executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators.
 
 
 This role reports to the ICM In-Business Quality Assurance Data Lead, and would ideally be suited to somebody who is currently working in the capacity of a Business Analyst or Risk Management professional with experience in Wholesale Credit Risk from a financial services background. If you are currently working as a Business Risk Officer, Control Tester, Business Analyst etc. in other financial institutions, then please apply for this role.
 
 
 
 Experience Is Using Python Is Essential For This Role.
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance.
 </li>
 <li>
 Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICM senior management. Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis.
 </li>
 <li>
 Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution.
 </li>
 <li>
 Perform Design, Operational effectiveness assessments of various business processes within Wholesale Credit Risk
 </li>
 <li>
 Participate and Independently Lead Quality Assurance Reviews (QAR) covering Data relevant aspects.
 </li>
 <li>
 Read Policies, Standards and Procedures to understand key pillars, responsibilities, associated risks and expected controls for the business process(es) in scope.
 </li>
 <li>
 Lead data discovery to identify data lineage, controls, etc. for the defined business process in scope.
 </li>
 <li>
 Good grasp of Wholesale Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation.
 </li>
 <li>
 Deep and hands-on in deriving concrete insight from data and qualifying business impact.
 </li>
 <li>
 Collaborate within IBQA teams and with QA Directors and provide them with analytics insights.
 </li>
 <li>
 Monitors exceptions to dispute policy and identifies drivers of exceptions.
 </li>
 <li>
 Leverages data to examine effectiveness of the business processes.
 </li>
 <li>
 Has the ability to operate with a limited level of direct supervision
 </li>
 <li>
 Can exercise independence of judgement and autonomy.
 </li>
 <li>
 Acts as SME to senior stakeholders and /or other team members.
 </li>
 <li>
 Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Relevant work experience in Risk &amp; Control function focusing on Wholesale Credit Risk.
 </li>
 <li>
 Hands on experience of Data Science / Data Analytics
 </li>
 <li>
 Deep understanding of control framework in the banks
 </li>
 <li>
 Experience in BCBS 239 is highly desirable.
 </li>
 <li>
 Python is essential. Tableau, SQL, MS Excel, (added advantage) we need to put Python at the top and mark it as essential
 </li>
 <li>
 Consistently demonstrates clear and concise written and verbal communication skills.
 </li>
 <li>
 Effective organizational influencing skills required.
 </li>
 <li>
 Excellent problem-solving skills Ability to see the big pictures with high attention to critical details.
 </li>
 <li>
 Demonstrated ability to develop and implement strategy and process improvement initiatives.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree, in Finance, Business or other Risk, and Quantitative areas.
 
 
 </li>
 </ul>
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Risk Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Business Risk &amp; Control
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 Citi is an equal opportunity and affirmative action employer.
 
 
 Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
 
 Citigroup Inc. and its subsidiaries ("Citi&rdquo;) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 Accessibility at Citi
 
 .
 
 
 View the "
 
 EEO is the Law
 
 " poster. View the
 
 EEO is the Law Supplement
 
 .
 
 
 View the
 
 EEO Policy Statement
 
 .
 
 
 View the
 
 Pay Transparency Posting
 
</div>

Data Scientist (Python) - Mumbai - Assistant Vice President

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a skilled and detail-oriented Data Engineer with deep expertise in Azure, SQL Server, and Databricks to design, build, and manage scalable data pipelines and enterprise data solutions. This role will be critical in supporting our analytics, reporting, and data science initiatives by delivering high-quality, reliable, and performant data systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
 </li>
 <li>
 Integrate data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
 </li>
 <li>
 Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
 </li>
 <li>
 Write efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
 </li>
 <li>
 Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
 </li>
 <li>
 Ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
 </li>
 <li>
 Implement CI/CD pipelines using Azure DevOps .
 </li>
 <li>
 Monitor and optimize the performance of data pipelines and queries across Azure and SQL Server environments.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field.
 </li>
 <li>
 5+ years of experience in data engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse
 </li>
 <li>
 Databricks (Azure implementation), including experience with Spark (Python or Scala).
 </li>
 <li>
 Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
 </li>
 <li>
 Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
 </li>
 <li>
 Familiarity with data governance, RBAC, and data security practices in Azure.
 </li>
 <li>
 Experience with CI/CD tools like Azure DevOps and version control with Git.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive.
 
 
 At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 
 Interview tips
 
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Data Engineer

<div>
 
 Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes.
 
 
 
 
 Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Design, maintain, and enhance internal Power BI dashboards and analytics for Corporate Finance and other functions.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Manage Power BI Service administration tasks, including access control, workspace setup, and gateway configurations.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Develop reusable data models using Power BI add-ons (Tabular Editor, DAX Studio, ALM Toolkit).
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Perform data ingestion, transformation, and enrichment using SQL/Python for structured reporting.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Support cross-functional stakeholders with on-demand reporting requests and business data exploration.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Maintain documentation for dashboards, models, and datasets; conduct demos, training sessions, and technical watch initiatives.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Respond to ad-hoc requests across Power Platform tools (PowerApps, Power Automate).
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Analytics, or related field.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience: 3+ years of experience developing with Power BI in a production or enterprise setting.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on experience with cloud environments (Azure preferred; AWS/GCP a plus).
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with UI/UX design principles for dashboards.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong proficiency in:
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Power BI tools: DAX, Power Query (M), Tabular Models
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data handling: SQL, Python
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 ETL tools (preferred): Dataiku, Azure Data Factory, SSIS
 
 
 
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 </li>
 <li>
 
 Mandatory: PL-300 (Microsoft Certified: Data Analyst Associate)
 
 
 
 </li>
 <li>
 
 Preferred: PL-200: Power Platform Functional Consultant or PL-600: Power Platform Solution
 
 
 
 </li>
 </ul>
 
 
 Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Strong analytical and problem-solving mindset with attention to detail.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborative team player with ability to work across functions and geographies.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proactive and self-motivated to own deliverables end-to-end.
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Excellent verbal and written communication skills in English, French is a plus.
 
 
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 What We Offer
 
 
 
 
 <ul>
 <li>
 
 Opportunity to lead cutting-edge AI projects in a global consulting environment.
 
 
 
 </li>
 <li>
 
 Leadership development programs and training sessions at our global centers.
 
 
 
 </li>
 <li>
 
 A dynamic and collaborative team environment with diverse projects.
 
 
 
 </li>
 </ul>
 
 
 Position based in Mumbai (onsite)
 
 
 
 
 
 Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
 
</div>

Data Analyst

Explore 154+ Data scientist in Mumbai this September. Find roles across top companies and apply now to boost your career.

154 data scientist jobs IN Mumbai

Data Scientist

Data Scientist

Data Scientist - AGM/ DGM/ GM

Data Scientist Associate - AI/ML, Python

Data Scientist (Python) - Mumbai - Assistant Vice President

Data Engineer

Data Analyst