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data analyst - customer service

data engineer

Wipro

<div>
 Job description:
 
 
 Job Description
 
 &nbsp;
 
 <ul>
 <li>
 
 Key Skills: Data Lakes, Data Analytics, Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks (Apache Spark Engine)
 
 </li>
 <li>
 Architect and implement data lake solutions using Microsoft Fabric, Snowflake, or Azure Databricks.
 </li>
 <li>
 Design and develop ETL/ELT pipelines for structured and unstructured data using Spark or other frameworks.
 </li>
 <li>
 Build interactive dashboards and reports using Tableau and Power BI to support business decision-making.
 </li>
 <li>
 Integrate data platforms with enterprise systems (CRM, ERP, DMS) for seamless data exchange.
 </li>
 <li>
 Collaborate with data scientists and analysts to support AI/ML workflows and predictive analytics.
 </li>
 <li>
 Ensure data quality, governance, and compliance with regulations (e.g., GDPR, HIPAA).
 </li>
 <li>
 Optimize performance, scalability, and security of data platforms across cloud and hybrid environments.
 </li>
 <li>
 Participate in client discussions, requirement gathering, and solution documentation.
 </li>
 <li>
 Support pre-sales activities, including solution presentations and proposal development.
 </li>
 <li>
 Lead or mentor development teams depending on experience level and role.
 </li>
 <li>
 Experience with one or more of the following: Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks
 </li>
 <li>
 Strong understanding of data modeling, ETL/ELT, and big data processing
 </li>
 <li>
 Experience in Telecom domain or working with Telecom clients (preferred)
 </li>
 <li>
 Excellent communication, stakeholder management, and client-facing skills
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related fields
 </li>
 </ul>
 ͏ ͏
 
 &nbsp;
 
 
 &nbsp;
 
 
 Experience: 5-8 Years .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
 
 
 Profile description:
 
 
 Job Description
 
 &nbsp;
 
 <ul>
 <li>
 
 Key Skills: Data Lakes, Data Analytics, Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks (Apache Spark Engine)
 
 </li>
 <li>
 Architect and implement data lake solutions using Microsoft Fabric, Snowflake, or Azure Databricks.
 </li>
 <li>
 Design and develop ETL/ELT pipelines for structured and unstructured data using Spark or other frameworks.
 </li>
 <li>
 Build interactive dashboards and reports using Tableau and Power BI to support business decision-making.
 </li>
 <li>
 Integrate data platforms with enterprise systems (CRM, ERP, DMS) for seamless data exchange.
 </li>
 <li>
 Collaborate with data scientists and analysts to support AI/ML workflows and predictive analytics.
 </li>
 <li>
 Ensure data quality, governance, and compliance with regulations (e.g., GDPR, HIPAA).
 </li>
 <li>
 Optimize performance, scalability, and security of data platforms across cloud and hybrid environments.
 </li>
 <li>
 Participate in client discussions, requirement gathering, and solution documentation.
 </li>
 <li>
 Support pre-sales activities, including solution presentations and proposal development.
 </li>
 <li>
 Lead or mentor development teams depending on experience level and role.
 </li>
 <li>
 Experience with one or more of the following: Microsoft Fabric, Snowflake, Tableau, Power BI, Azure Databricks
 </li>
 <li>
 Strong understanding of data modeling, ETL/ELT, and big data processing
 </li>
 <li>
 Experience in Telecom domain or working with Telecom clients (preferred)
 </li>
 <li>
 Excellent communication, stakeholder management, and client-facing skills
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related fields
 </li>
 </ul>
 ͏ ͏
 
 &nbsp;
 
 
 &nbsp;
 
 
 Experience: 5-8 Years .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Engineer

Intuit

<div>
 
 Overview
 
 
 
 Come join the
 
 Virtual Expert Platform Data Engineering Team
 
 as a
 
 Software Engineer 2
 
 . Intuit is the global leader in &filig;nancial management software where we have pioneered the shift to Virtual Platforms, cloud computing for consumers, small businesses and those that serve them. Intuit moves as fast as a startup, and we are constantly disrupting ourselves as we identify major new technology and design trends that are needed to deliver our mission to power prosperity around the world. Our groups are fast-paced teams focused on delivering innovative capabilities and having fun while doing it.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain data pipelines: Assist with the development and upkeep of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines that move data from various sources into our data warehouses and lakes.
 </li>
 <li>
 Support data quality: Perform data validation and quality checks to ensure the accuracy, reliability, and integrity of our datasets.
 </li>
 <li>
 Troubleshoot and monitor: Aid in monitoring data pipelines and infrastructure and diagnose and resolve basic issues as they arise.
 </li>
 <li>
 Document processes: Create and maintain documentation for data pipelines, processes, and schemas for future reference and knowledge sharing.
 </li>
 <li>
 Support large data volumes and design for scalability
 </li>
 <li>
 As a key member of the team drive adoption of new technologies, tools, and process improvements to build world class analytical capabilities for web analytics, optimization, experimentation and personalization.
 </li>
 <li>
 Work cross-functionally with various Intuit teams: Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers.
 </li>
 <li>
 Build GenAI based solutions to solve for customers/Experts benefit or internal productivity gains
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors/ Masters in computer science or related field.
 </li>
 <li>
 Experience in developing data pipelines, creating ETLs, and working in distributed systems.
 </li>
 <li>
 Excellent SQL skills
 </li>
 <li>
 Ideal candidate to have 3+ years of experience in end-to-end data warehouse implementations
 </li>
 <li>
 Hands on experience in AWS technologies (S3, EMR, Redshift) or other cloud technologies.
 </li>
 <li>
 Hands on experience in any of the programming languages (Python, Java, etc).
 </li>
 <li>
 Knowledge of AI / ML, Generative AI
 </li>
 <li>
 Solid communication skills
 </li>
 <li>
 Demonstrated understanding of the Software design and architecture process.
 </li>
 <li>
 Experience with unit testing and data quality automation checks
 </li>
 <li>
 Excellent communication skills and an eagerness to learn and grow in a fast-paced environment.
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Software Engineer 2

Arcadis

<div>
 Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
 
 
 We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.
 
 
 
 Qualification &amp; Experience:
 
 
 
 <ul>
 <li>
 Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
 </li>
 <li>
 Technical Responsibilities &ndash;
 </li>
 <ul>
 <li>
 Excellent proficiency in Python, with a strong focus on developing advanced skills.
 </li>
 <li>
 Extensive exposure to NLP and image processing concepts.
 </li>
 <li>
 Proficient in version control systems like Git.
 </li>
 <li>
 In-depth understanding of Azure deployments.
 </li>
 <li>
 Expertise in OCR, ML model training, and transfer learning.
 </li>
 <li>
 Experience working with unstructured data formats such as PDFs, DOCX, and images. O
 </li>
 <li>
 Strong familiarity with data science best practices and the ML lifecycle.
 </li>
 <li>
 Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
 </li>
 <li>
 Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
 </li>
 </ul>
 <li>
 Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
 </li>
 <li>
 Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
 </li>
 <li>
 Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
 </li>
 <li>
 Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
 </li>
 <li>
 Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.
 
 
 </li>
 </ul>
 
 Principal Duties &amp; Key Responsibilities:
 
 
 
 <ul>
 <li>
 Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
 </li>
 <li>
 Driving optical character recognition (OCR) processes to digitize data from images.
 </li>
 <li>
 Applying advanced natural language processing (NLP) techniques to understand complex data.
 </li>
 <li>
 Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
 </li>
 <li>
 Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
 </li>
 <li>
 Collaborating closely with business domain experts to identify and drive key business value drivers.
 </li>
 <li>
 Documenting model design choices, algorithm selection processes, and dependencies.
 </li>
 <li>
 Effectively collaborating in cross-functional teams within the CoE and across the organization.
 </li>
 <li>
 Proactively seeking opportunities to contribute beyond assigned tasks.
 
 
 </li>
 </ul>
 
 Required Competencies:
 
 
 
 <ul>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Proficiency in Microsoft Office 365 applications.
 </li>
 <li>
 Ability to work independently, demonstrate initiative, and provide strategic guidance.
 </li>
 <li>
 Strong networking, communication, and people skills.
 </li>
 <li>
 Outstanding organizational skills with the ability to work independently and as part of a team.
 </li>
 <li>
 Excellent technical writing skills.
 </li>
 <li>
 Effective problem-solving abilities.
 </li>
 <li>
 Flexibility and adaptability to work flexible hours as required.
 
 
 </li>
 </ul>
 
 Key competencies / Values:
 
 
 
 <ul>
 <li>
 Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
 </li>
 <li>
 Excellence: Striving for excellence defined by clients, delivering high-quality work.
 </li>
 <li>
 Trust: Building and retaining trust with clients, colleagues, and partners.
 </li>
 <li>
 Teamwork: Collaborating effectively to achieve collective success.
 </li>
 <li>
 Responsibility: Taking ownership of performance and safety, ensuring accountability.
 </li>
 <li>
 People: Creating an inclusive environment that fosters individual growth and development.
 
 
 </li>
 </ul>
 Why Arcadis?
 
 
 We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
 
 
 You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
 
 
 Together, we can create a lasting legacy.
 
 
 Join Arcadis. Create a Legacy.
 
 
 Our Commitment to Equality, Diversity, Inclusion &amp; Belonging
 
 
 We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
 
 
</div>

Consultant Data Science

UsefulBI Corporation

<div>
 
 Job Title: Gen AI Developer
 
 
 Location: Bangalore / Lucknow
 
 
 Role Type: Full-time, Senior level
 
 
 Company&rsquo;s website: https://usefulbi.com
 
 
 LinkedIn link: UBI LinkedIn
 
 
 
 
 
 About UsefulBI:
 
 
 UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you&rsquo;ll work across the entire data science lifecycle&mdash;from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
 
 
 
 
 
 You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
 
 
 &bull; Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
 
 
 &bull; Design, optimize, and evaluate prompts tailored for various use cases and user personas.
 
 
 &bull; Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
 
 
 &bull; Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
 
 
 &bull; Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
 
 
 &bull; Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
 
 
 &bull; Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
 
 
 &bull; Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
 
 
 &bull; Build scalable and secure inference pipelines integrated with backend systems and APIs.
 
 
 &bull; Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
 
 
 &bull; Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
 
 
 &bull; Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 &bull; 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
 
 
 &bull; Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
 
 
 &bull; Experience in end-to-end ML lifecycle including model development, validation, and deployment. &bull; Solid understanding of statistics, probability, and data modeling.
 
 
 &bull; Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
 
 
 &bull; Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.
 
 
 &bull; Experience with SQL and at least one NoSQL database.
 
 
 &bull; Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
 
 
 &bull; Strong communication skills with the ability to explain complex models to non-technical audiences.
 
 
 
</div>

Data Scientist(Gen AI , Databricks)

GoTo Group

<div>
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Translate business concerns into technical problems that can be addressed using data science and machine learning techniques.
 </li>
 <li>
 Collaborate with product managers, machine learning engineers, and business users to develop and deploy data science solutions.
 </li>
 <li>
 Prototype and deploy data science models, ensuring they are scalable and maintainable in a production environment.
 </li>
 <li>
 Partner with business teams to continuously improve systems to meet Gojek&rsquo;s evolving needs.
 </li>
 <li>
 Analyze large datasets to generate actionable insights.
 </li>
 <li>
 Design and conduct experiments to measure the impact of machine learning models and product features in the Marketplace Team
 
 
 </li>
 </ul>
 
 
 What You Will Need
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field, with at least 1-2 years of relevant experience.
 </li>
 <li>
 Hands-on experience with statistics, machine learning fundamentals, and proficiency in Python, SQL, and basic visualization tools.
 </li>
 <li>
 Strong understanding of data science and machine learning fundamentals, with the ability to formulate solutions to business problems.
 </li>
 <li>
 Ability to write clear and concise technical documentation.
 </li>
 <li>
 Experience in taking data science models from development to production.
 </li>
 <li>
 Competence in conducting independent analysis, including data manipulation, hypothesis formulation, and statistical analysis of experiments.
 
 
 </li>
 </ul>
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About Gojek
 
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Data Scientist

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

Deloitte

<div>
 
 
 Data Analyst
 
 
 
 
 
 
 
 Location:
 
 Bangalore / Pune
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for an experienced Data Analyst with strong technical expertise and a solution-oriented mindset. The ideal candidate will leverage advanced skills in Python, PySpark, and SQL to manage and transform data, uncover insights, and support complex business use cases. Experience in the banking sector and knowledge of data governance principles will be a strong advantage.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze and transform large datasets using PySpark and SQL to solve complex business problems.
 </li>
 <li>
 Identify data anomalies and perform thorough data validation to ensure accuracy and quality.
 </li>
 <li>
 Collaborate effectively with stakeholders, managing expectations and delivering data-driven solutions.
 </li>
 <li>
 Take ownership of the end-to-end data development and deployment process.
 </li>
 <li>
 Uphold data governance, quality, privacy, and control standards throughout the data lifecycle.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills &amp; Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of professional experience in Python programming.
 </li>
 <li>
 5-7 years of hands-on experience with PySpark for data management and transformation.
 </li>
 <li>
 3-5 years of experience with SQL, including advanced query writing and optimization.
 </li>
 <li>
 Familiarity with version control tools such as Git.
 </li>
 <li>
 Strong understanding of data governance, data quality, controls, and privacy practices.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience in the banking or financial services domain.
 </li>
 <li>
 Knowledge of data pipeline building and workflow orchestration (e.g., Prophecy).
 </li>
 <li>
 Ability to model data and design scalable data architectures.
 </li>
 <li>
 Proven stakeholder management and communication skills.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re passionate about data, enjoy tackling complex challenges, and want to make an impact in a dynamic environment, we&rsquo;d love to hear from you!
 
 
 Kindly apply on this given link,
 
 
 https://forms.office.com/e/v8D1peAFxP
 
</div>

Data Analyst

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