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senior business analyst

data science analyst

JPMorganChase

<div>
 
 Job Description
 
 
 
 You are a strategic thinker passionate about driving solutions in data science and analytics. You have found the right team.
 
 
 As an Applied AI/ML Analyst in our Data Science COE within the Firmwide Planning &amp; Analysis (FP&amp;A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities. You will focus on AI/ML-based solutions to boost productivity across the FP&amp;A organization. In this role, you will analyze business problems, experiment with statistical and machine learning models, and develop solutions using state-of-the-art machine learning and deep learning algorithms. You will be part of an innovative team, collaborating closely with cross-functional teams to create data-driven solutions that enhance our products, services, and business operations. We are seeking someone with a strong background in data analysis, machine learning, and statistical modeling, who is passionate about uncovering insights and solving complex problems.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&amp;A, Information Retrieval/Summarization, Search, etc.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap.
 </li>
 <li>
 Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
 </li>
 <li>
 Communicate findings and insights through clear and concise visualizations and reports.
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&amp;A organization.
 </li>
 <li>
 Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.
 </li>
 <li>
 Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills.
 
 
 
 <ul>
 <li>
 Engineer in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.
 </li>
 <li>
 1 year of experience in data science, machine learning, or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with LLMs and Prompt Engineering techniques.
 </li>
 <li>
 Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 
 
 </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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
</div>

Applied AI/ML - Analyst

Medable, Inc

<div>
 Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences.
 
 
 Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place.
 
 
 <ul>
 <li>
 Responsibilities
 </li>
 <li>
 Develop and integrate algorithms for data transfers, compliance reports and other analyses that are useful for measuring the performance and/or delivering a successful clinical trial
 </li>
 <li>
 Present information in a statistically valid and impactful way using data visualization techniques and tools such as R Shiny, Looker and SpotFire
 </li>
 <li>
 Represent the Data Science team in internal and external meetings to discuss data transfer and report requirements
 </li>
 <li>
 Support Data Science process improvement activities under the guidance of the Senior Data Scientists
 </li>
 <li>
 Other duties as assigned
 </li>
 <li>
 Experience
 </li>
 <li>
 2+ years working in Data Science, Statistics or Programming role or a combination of education and experience
 </li>
 <li>
 Skills
 </li>
 <li>
 Highly analytical with a strength for analysis, math and statistics
 </li>
 <li>
 Critical thinking and problem-solving skills Experience in data processing and mining Analytical mind and business acumen Problem-solving aptitude
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Confident in data storytelling
 </li>
 <li>
 Knowledge of the drug development industry and the role data plays in clinical trials
 </li>
 <li>
 R programming language, Python, SQL, SAS required
 </li>
 <li>
 Education, Certifications, Licenses
 </li>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Statistics, Data Science or related field
 </li>
 <li>
 Travel Requirements
 
 
 </li>
 </ul>
 As required
 
 
 At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members.
 
 
 
 Flexible Work
 
 
 
 <ul>
 <li>
 Hybrid from day one &ndash; we believe in creating a truly flexible employee experience
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Competitive base salary packages
 </li>
 <li>
 Annual performance-based bonuses
 </li>
 <li>
 Employee stock options &ndash; aligning your success with Medable&rsquo;s growth
 
 
 </li>
 </ul>
 
 Health &amp; Wellness
 
 
 
 <ul>
 <li>
 Comprehensive health insurance coverage for you and your family
 </li>
 <li>
 Inclusive parental leave policy for non-birthing parents
 
 
 </li>
 </ul>
 
 Recognition
 
 
 
 <ul>
 <li>
 Peer-to-peer recognition programs to celebrate achievements and milestones
 
 
 </li>
 </ul>
 
 Community Involvement
 
 
 
 <ul>
 <li>
 Volunteer time off to support causes that matter to you
 
 
 </li>
 </ul>
 Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at hr@medable.com.
</div>

Data Scientist

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is looking for a
 
 Data Scientist
 
 who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 </li>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement solutions driven by business requirements
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 2+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of experience working in a complex, matrixed organization.
 </li>
 <li>
 5 years of experience preparing and delivering technical presentations to executive leadership.
 </li>
 <li>
 3 years of experience in mobile advertising analytics.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play.
 </li>
 <li>
 Partner with Games Data Science and Product Strategy team members, Play Games Product Management (PM), Engineering (Eng), Product Marketing Management (PMM), User Experience (UX) and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences.
 </li>
 <li>
 Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games.
 </li>
 <li>
 Develop a comprehensive understanding of the gaming industry.
 </li>
 <li>
 Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using Plx tools.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, Google Play Games

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Description Summary:
 
 
 This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
 
 
 
 Job Description:
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement data science models and algorithms.
 </li>
 <li>
 Analyze and interpret complex data sets.
 </li>
 <li>
 Ensure data quality and integrity.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements.
 </li>
 <li>
 Optimize data processes for efficiency and performance.
 </li>
 <li>
 Perform advanced statistical analysis and reporting.
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
 
 
 
 </li>
 </ul>
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
 
 
 We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
 
 
 
 Who We Are:
 
 
 
 To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
 
 
 REQ ID R0129792
</div>

ComfNet Solutions GmbH

<div>
 
 
 Immediate hiring for an MNC - A Hitachi group company - Full-time.
 
 
 
 
 
 
 
 Only Immediate Joiners
 
 
 
 
 
 
 📢
 
 Immediate Hiring | Statistical Data Analyst (5&ndash;8 Years)
 
 
 
 📍
 
 Location:
 
 Pan India (Onsite) (Hybrid)
 
 
 🏢
 
 Client:
 
 Leading MNC Tech Space
 
 
 ⏳
 
 Notice Period:
 
 Immediate Joiners Only
 
 
 📅
 
 Experience:
 
 4 to 8 Years - Mandatory
 
 
 
 Location: Pan India - 100% Onsite - WFO / 5 Days working - Hybrid
 
 
 
 
 
 
 
 Note:
 
 We are not looking for a Power BI or Tableau expert. We are looking for a
 
 Statistical Data Analyst&mdash;someone with exceptional statistical expertise.
 
 
 
 
 
 
 🚀
 
 About the Role
 
 
 
 We are hiring a skilled
 
 Data Analyst
 
 to join a high-impact team working on AI-driven optimisation for industrial batch processing. In this role, you&rsquo;ll analyse operational data, drive insights, and collaborate cross-functionally to improve material efficiency and device performance across production plants.
 
 
 
 
 
 🎯
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyse
 
 batching data
 
 and
 
 device-level feed cycle logs
 
 to assess product performance and uncover areas for improvement.
 </li>
 <li>
 Collaborate closely with
 
 Product Owners
 
 to align analytical outputs with the Batch AI roadmap.
 </li>
 <li>
 Build and maintain
 
 performance dashboards
 
 to track KPIs like batching accuracy, material waste, and system throughput.
 </li>
 <li>
 Convert complex datasets into
 
 clear, actionable insights
 
 for engineering and product stakeholders.
 </li>
 <li>
 Participate in
 
 data reviews, cross-functional planning,
 
 and product sprint meetings.
 </li>
 <li>
 Support the development of
 
 AI behaviour monitoring
 
 , identifying trends and recommending product improvements.
 </li>
 <li>
 Communicate technical findings effectively across all levels &mdash; including executives, plant engineers, and field operators.
 </li>
 <li>
 Ensure data interpretation meets both
 
 internal standards
 
 and
 
 customer-specific requirements.
 
 </li>
 </ul>
 
 
 
 
 🧠
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Data Science, Engineering, Analytics, or a related field
 
 </li>
 <li>
 
 5&ndash;8 years
 
 of experience in a
 
 data analyst/production analyst
 
 role, preferably in SaaS, manufacturing, or industrial domains
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and tools like
 
 Power BI, Tableau
 
 </li>
 <li>
 Experience with
 
 time-series, operational, or industrial IoT data
 
 </li>
 <li>
 Strong
 
 analytical thinking and problem-solving
 
 skills with a strategic mindset
 </li>
 <li>
 Excellent communication and
 
 data storytelling
 
 skills &mdash; ability to simplify complex data for non-technical stakeholders
 </li>
 <li>
 Comfortable working in
 
 Agile teams
 
 and cross-functional environments
 </li>
 <li>
 Experience with
 
 manufacturing analytics, process control
 
 , or
 
 concrete production
 
 is a strong plus
 </li>
 </ul>
 
 
 
 
 🔧
 
 Tools &amp; Tech Stack
 
 
 <ul>
 <li>
 SQL
 </li>
 <li>
 Power BI / Tableau
 </li>
 <li>
 Time-series / IoT Data Platforms
 </li>
 <li>
 Jira / Agile Environments
 </li>
 </ul>
 
 
 
 
 ✅
 
 Why Join?
 
 
 <ul>
 <li>
 Be part of a high-impact, data-first AI initiative at a global MNC
 </li>
 <li>
 Contribute to real-world improvements in material efficiency and industrial automation
 </li>
 <li>
 Collaborate with cross-border, multi-functional teams
 </li>
 <li>
 Work on cutting-edge analytics in industrial product development
 </li>
 </ul>
 
 
 
 
 📩
 
 Apply Now
 
 &ndash; We are interviewing immediately for this role.
 
 
 Only
 
 immediate joiners
 
 will be considered.
 
 <ul>
 <li>
 Furkhan.airani@comfnet.de - You can even share your CV on.
 </li>
 </ul>
 
 
</div>

Data Analyst

Third Wave Coffee

<div>
 
 Role Overview:
 
 
 As a Business Analyst at Third Wave Coffee, you will be responsible for transforming complex data into actionable insights that shape business strategy and decision-making. You will lead the design and delivery of advanced dashboards, data models, and reporting solutions&mdash;primarily leveraging Power BI&mdash;to provide visibility into key performance metrics across the organization. Working closely with business leaders, product teams, and data stakeholders, you will play a pivotal role in enabling data-driven decision-making and fostering a culture of analytics.
 
 
 
 
 
 Key Responsibilities:
 
 
 - Partner with business stakeholders to define reporting needs, translate requirements into BI solutions, and deliver insights that drive strategic initiatives
 
 
 - Design, build, and maintain robust Power BI dashboards and reports with strong emphasis on usability, storytelling, and performance optimization
 
 
 - Develop and maintain data models, DAX calculations, and measures to support scalable self-service analytics
 
 
 - Perform deep-dive analysis on business performance, customer behaviour, and operational trends to identify growth opportunities and risks
 
 
 - Ensure accuracy, consistency, and governance of BI reports by implementing best practices in data validation and quality assurance
 
 
 - Collaborate with data engineers and analysts to ensure efficient data pipelines and reliable access to clean, well-structured data sources
 
 
 - Mentor junior analysts, review their work, and guide them on best practices in BI development and analytics
 
 
 - Stay updated on BI tools, features, and industry trends, recommending enhancements to improve reporting capabilities and data democratization
 
 
 
 
 
 Skills and Qualifications:
 
 
 - Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Engineering, or a related field
 
 
 - 3+ years of experience in Business Intelligence, Data Analysis, or a related field
 
 
 - Strong expertise in Power BI development (DAX, Power Query, data modelling, performance tuning, row-level security)
 
 
 - Proficiency in SQL for data extraction, transformation, and analysis
 
 
 - Solid understanding of data warehousing, ETL concepts, and relational database systems
 
 
 - Demonstrated ability to translate complex datasets into clear, actionable business insights
 
 
 - Strong communication and stakeholder management skills, with the ability to influence decisions at senior levels
 
 
 - Detail-oriented with excellent problem-solving and critical-thinking skills.
 
 
 
 
 
 Preferred Qualifications:
 
 
 - Exposure to other BI and visualization tools (e.g., PowerBI, Tableau, Qlik)
 
 
 - Familiarity with cloud platforms such as Azure, AWS, or GCP for BI and analytics solutions
 
 
 - Experience with advanced analytics (statistical modelling, forecasting, or machine learning concepts) is a plus
 
 
 - Relevant certifications such as Microsoft Power BI Data Analyst Associate
 
</div>

Business Analyst

Explore 582+ Data science analyst in Mangaluru this September. Find roles across top companies and apply now to boost your career.

582 data science analyst jobs IN Mangaluru

Applied AI/ML - Analyst

Data Scientist

Data Scientist

Product Data Scientist, Google Play Games

Data Scientist

Data Analyst

Business Analyst