data analyst

data analyst - python & power bi Jobs in Mumbai

data analyst - python & power bi

data scientist (quant research) - gm data & ai lab Jobs in Mumbai

data scientist (quant research) - gm data & ai lab

data scientist

LTIMindtree

<div>
 
 
 
 Data Scientist - GENAI
 
 
 
 
 
 
 
 We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 
 
 
 
 
 
 
 Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
 
 
 
 
 
 
 
 
 Secondary Skills &ndash;
 
 NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 
 
 
 
 
 
 
 Responsibilities for Data Scientist:
 
 
 
 
 
 
 <ul>
 <li>
 Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
 </li>
 <li>
 Assess the effectiveness and accuracy of new data sources and data gathering techniques.
 </li>
 <li>
 Develop custom models and algorithms to apply to data sets.
 </li>
 <li>
 Use predictive modelling to increase and optimize customer experiences.
 </li>
 <li>
 Coordinate with different functional teams to implement models and monitor outcomes.
 </li>
 <li>
 Analyse large amounts of information to discover trends and patterns.
 </li>
 <li>
 Build predictive models and machine-learning algorithms.
 </li>
 <li>
 Present information using data visualization techniques .
 </li>
 <li>
 Good to have a knowledge of ML lifecycle and model governance.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications for Data Scientist
 
 
 
 
 
 
 <ul>
 <li>
 
 
 Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
 
 
 </li>
 <li>
 Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
 </li>
 <li>
 Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
 </li>
 <li>
 Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
 </li>
 <li>
 Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
 </li>
 <li>
 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
 </li>
 <li>
 Experience visualizing/presenting data for stakeholders
 </li>
 <li>
 Experience with Snowflake will be an added advantage
 </li>
 <li>
 Experience in deployment of machine learning models using cloud technologies"
 </li>
 </ul>
 
 
</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>

BNP Paribas

<div>
 
 About BNP Paribas Group
 
 
 
 
 BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees
 
 . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking &amp; Services) and Corporate &amp; Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate &amp; Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.
 
 
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About Business Line/Function
 
 
 
 GM Data &amp; AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai.
 
 
 
 Job Title
 
 
 
 Data Scientist (Quant Research)
 
 
 
 Date
 
 
 
 Department:
 
 
 Front Office Support
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 Global Markets &ndash; Data &amp; AI Lab
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation.
 
 
 As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
 
 
 At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research &amp; industry to drive innovation and to make a real impact on our businesses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain AI models on time series &amp; financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring.
 </li>
 <li>
 Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
 </li>
 <li>
 Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality.
 </li>
 <li>
 Documenting each step of the development and informing decision makers by presenting them options and results.
 </li>
 <li>
 Ensure the integrity and security of data.
 </li>
 <li>
 Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
 </li>
 <li>
 Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
 </li>
 <li>
 Knowledge of Monte Carlo Simulations, Bayesian modelling &amp; Causal Inference.
 </li>
 <li>
 Experience with Machine Learning &amp; Deep Learning concepts including data representations, neural network architectures, custom loss functions.
 </li>
 <li>
 Proven track record of building AI models on time-series &amp; financial data.
 </li>
 <li>
 Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
 </li>
 <li>
 Ability to write clear and concise code in python.
 </li>
 <li>
 Intellectually curious and willing to learn challenging concepts daily.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural Skills:
 
 
 Ability to collaborate / Teamwork
 
 
 Critical thinking
 
 
 Communication skills - oral &amp; written
 
 
 Attention to detail / rigor
 
 
 
 Transversal Skills
 
 
 
 Analytical Ability
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 2 years
</div>

Data Scientist (Quant Research) - GM Data & AI Lab

Experian

<div>
 
 We are looking for a Data Modeler to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre-sales and analytics to ensure product creation.
 
 
 Suited to someone who has 3 to 4 years' experience core analytics function of a large bank / consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights.
 
 
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Deliver high quality analytical and value-added services for the clients while following timelines as promised to the client.
 </li>
 <li>
 You'll play an important role to Engage Business/Technical Consultants and delivery teams so that there is a shared understanding and agreement as to deliver proposed solution
 </li>
 <li>
 You will Use analysis and customer insights to develop value propositions for customers
 </li>
 </ul>
 
 
 
 
 
 What you'll need to bring to the party
 
 
 
 
 
 <ul>
 <li>
 Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
 </li>
 <li>
 Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
 </li>
 <li>
 Decent understanding and hands-on of statistical modelling/data analysis tools especially Python, Pyspark or SAS and market trends
 </li>
 <li>
 Applied statistics skills, such as distributions, statistical testing, regression etc.
 </li>
 <li>
 Understanding of decisioning and portfolio management in banking and financial services would be added advantage
 </li>
 <li>
 Understanding of credit bureau would be an added advantage
 </li>
 </ul>
 
 
</div>

Data Modeler II

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 As a Data Analyst &ndash; Reporting &amp; Data Analytics, you will drive insights by analyzing and rationalizing enterprise reports. You'll collaborate with cross-functional teams to understand reporting needs and translate them into technical solutions. Leveraging tools like SQL, PySpark, Power BI, and Databricks, you'll ensure data accuracy and impactful visualizations. Your role bridges business requirements with data engineering to enable informed decision-making.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Analyst
 
 </li>
 <li>
 
 Location: Mumbai
 
 </li>
 <li>
 
 Experience: 4 to 7 Years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Develop and optimize SQL and PySpark queries to extract, transform, and analyze data from Databricks and other data platforms.
 </li>
 <li>
 Leverage Unity Catalog for data governance and access control. Participate in Report bursting and Distribution monitoring.
 </li>
 <li>
 Work closely with data engineering teams to validate data accuracy, completeness, and transformation logic.
 </li>
 <li>
 Ensure data integrity and consistency across reporting layers.
 </li>
 <li>
 Perform functional-to-technical mapping of legacy reports to new systems and platforms.
 </li>
 <li>
 Support the transition from legacy reporting tools to modern data platforms.
 </li>
 <li>
 Collaborate with cross-functional teams including Operations, Finance, Audit, MIS, and Compliance to gather and understand reporting requirements.
 </li>
 <li>
 Translate business needs into clear, actionable technical specifications.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Proficiency in SQL and PySpark for data querying and transformation.
 </li>
 <li>
 Hands-on experience with Databricks, Unity Catalog, and Power BI.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Excellent communication and stakeholder management abilities.
 </li>
 <li>
 Experience in report rationalization and system migration is a plus.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.'
 
 
 
</div>

Data Analyst

<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: 3-6 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>

<div>
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union&rsquo;s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About BNP Paribas Group
 
 
 
 BNP Paribas is the European Union&rsquo;s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking &amp; Services for the Group&rsquo;s commercial &amp; personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment &amp; Protection Services for savings, investment, and protection solutions; and Corporate &amp; Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial &amp; personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability
 
 
 Commitment to Diversity and Inclusion
 
 
 At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.
 
 
 
 About Business Line/Function
 
 
 
 The Intermediate Holding Company (&ldquo;IHC&rdquo;) program structured at the U.S. level across poles of activities of BNP Paribas provides guidance, supports the analysis, impact assessment and drives adjustments of the U.S. platform&rsquo;s operating model due to the drastic changes introduced by the Enhanced Prudential Standards (&ldquo;EPS&rdquo;) for Foreign Banking Organizations (&ldquo;FBOs&rdquo;) finalized by the Federal Reserve in February 2014, implementing Section 165 of U.S Dodd-Frank Act.
 
 
 The IT Transversal Team is part of the Information Technology Group which works simultaneously on a wide range of projects arising from business, strategic initiatives, and regulatory changes and reengineering of existing applications to improve functionality and efficiency.
 
 
 As part of the transformation, the team is spreading the culture of Data driven outputs for the various business functions for the reporting line.
 
 
 
 Job Title
 
 
 
 Data Analyst
 
 
 
 Date
 
 
 
 25/06/2025
 
 
 
 Department
 
 
 
 IHC
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 CIB IT Transversal
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 NA
 
 
 (Functional)
 
 
 Manager
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 
 Responsibilities
 
 
 
 Direct Responsibilities -
 
 
 <ul>
 <li>
 Able to analyze huge data and identify any functional gaps on Data front and Data Quality.
 </li>
 <li>
 Perform detailed analysis on data / functional gaps, conduct / organize sessions with Stakeholders/ Clients, to discuss / brainstorm these gaps and present these functional gaps in a summarized manner to Business Stakeholders/ Clients.
 </li>
 <li>
 Work extensively on Reporting using Power BI on the analysed data set to provide business insights.
 </li>
 <li>
 Coordinate with techno functional team in explaining to them the logic based on which the data needs to be created for the reporting requirement.
 </li>
 <li>
 Explain the functional gaps to techno functional team so that they can incorporate those checks as part of testing / Delivery.
 </li>
 <li>
 Perform reconciliation on month end data Vs tactical adjustments and generate variance analysis.
 </li>
 <li>
 Develop test cases if required aimed at validating development for a given requirement and record them in the official test management platform.
 
 
 </li>
 </ul>
 Contributing Responsibilities
 
 
 &ndash;
 
 
 <ul>
 <li>
 Partner with Onshore leads to present the created solution, Share the knowledge and provide training if required.
 </li>
 <li>
 Produce and distribute daily/weekly team Status reports and contribute to project status reporting depending on the undertaking at hand
 </li>
 <li>
 Create Documentation as per the project needs.
 </li>
 <li>
 Perform knowledge transfer and cross training for proper backup in team
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Experience in Power BI tool. With hands on experience on Power Query and DAX.
 </li>
 <li>
 Understanding of various data models for extraction of required data sets to be consumed for PBI reporting.
 </li>
 <li>
 Able to work with different data sets and create relational models.
 </li>
 <li>
 Proficient in MS Office applications; MS Project, MS Visio.
 </li>
 <li>
 Python knowledge and inclination to work on it will be an added advantage.
 </li>
 <li>
 Ability to Adapt to new technologies and flare learning and implement projects with new technologies.
 
 
 </li>
 </ul>
 
 Specific Qualifications (if Required)
 
 
 
 Bachelor&rsquo;s Degree or BE, along with
 
 knowledge of the following:
 
 -
 
 
 <ul>
 <li>
 Reporting on new tools and technologies with basic knowledge of Power BI dashboard development and implementation.
 </li>
 <li>
 Understanding of Python and basic coding.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural
 
 
 
 Skills
 
 
 
 (Please select up to 4 skills)
 
 
 Communication skills - oral &amp; written
 
 
 Ability to collaborate / Teamwork
 
 
 Adaptability
 
 
 Active listening
 
 
 
 Transversal Skills
 
 
 
 (Please select up to 5 skills)
 
 
 Analytical Ability
 
 
 Ability to develop and adapt a process
 
 
 Ability to understand, explain and support change
 
 
 Ability to manage / facilitate a meeting, seminar, committee, training&hellip;
 
 
 Ability to anticipate business / strategic evolution
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent in computer application
 
 
 
 Other/Specific Qualifications (if Required)
 
 
 
 <ul>
 <li>
 A self-starter who can take the process a level ahead and have the ability to think out of the box, suggest and challenge status quo.
 </li>
 <li>
 Ask questions and understand the larger picture for the tasks assigned.
 </li>
 <li>
 Display a sense of curiosity, enthusiasm and eagerness to understand business constraints, environment and impact on regulation for the financial industry.
 </li>
 <li>
 Excellent communication skills (both verbal and written)
 </li>
 <li>
 Excellent organization, analytical and time management skills.
 </li>
 <li>
 Ability to work under pressure and flexible to work extended hours or weekend working.
 </li>
 <li>
 Ability to work independently and become an effective team member.
 </li>
 </ul>
</div>

Data Analyst - Python & Power BI

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