business analyst

data analyst

product analyst

account manager

associate consultant

analytics specialist

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 We are seeking a highly skilled and dynamic People Analytics &amp; HR Reporting Specialist to join our team at a senior level. The ideal candidate will have advanced analytical and technical expertise in building dashboards and reports,
 
 
 leveraging various data sources such as EDP, data lakes, and APIs for systems like Workday. This role requires strong experience in Power BI, proficiency in Python for building predictive models, and a solid understanding of HR analytics to deliver actionable insights. Additionally, the candidate must excel in project management and stakeholder management.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Design and develop advanced dashboards and visualizations using Power BI and other analytics tools. Integrate data from various sources (EDP, data lakes, APIs, Workday) for seamless reporting.
 </li>
 <li>
 Use Python to create predictive models for employee insights and workforce planning.
 </li>
 <li>
 Collaborate with stakeholders to gather requirements and deliver impactful analytics solutions.
 </li>
 <li>
 Manage projects effectively, ensuring timely delivery of analytics initiatives.
 </li>
 <li>
 Communicate insights and recommendations clearly to both technical and non-technical audiences.
 </li>
 <li>
 Demonstrate strong stakeholder management skills to build and maintain effective relationships.
 </li>
 <li>
 Support day-to-day standard and ad-hoc Workday reports for stakeholders globally.
 </li>
 <li>
 Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree.
 </li>
 <li>
 Minimum 2+ years&rsquo; experience in Power BI, EDP, and data lake integrations.
 </li>
 <li>
 Proficiency in Python for advanced analytics and predictive modeling.
 </li>
 <li>
 Strong stakeholder management and presentation skills.
 </li>
 <li>
 Prior experience in core analytics is a must; HR analytics is an advantage.
 </li>
 <li>
 Excellent project management skills.
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

HR Reporting & PA Specialist – HR Operations

BCG X

<div>
 
 Locations
 
 : Bengaluru | Gurgaon
 
 
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 As a part of BCG X A&amp;A team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.
 
 
 YOU'RE GOOD AT
 
 
 <ul>
 <li>
 Working with case (and proposal) teams
 </li>
 <li>
 Acquiring deep expertise in at least one analytics topic &amp; understanding of all analytics capabilities
 </li>
 <li>
 Defining and explaining expected analytics outcome; defining approach selection
 </li>
 <li>
 Delivering original analysis and insights to BCG teams, typically owning all or part of an analytics module and integrating with case teams
 </li>
 <li>
 Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
 </li>
 <li>
 Communicating analytical insights through sophisticated synthesis and packaging of results (including PowerPoint presentation, Documents, dashboard and charts) with consultants, collects, synthesizes, analyses case team learning &amp; inputs into new best practices and methodologies
 </li>
 <li>
 Build collateral of documents for enhancing core capabilities and supporting reference for internal documents; sanitizing confidential documents and maintaining a repository
 </li>
 <li>
 Able to lead workstreams and modules independently or with minimal supervision
 </li>
 <li>
 Ability to support business development activities (proposals, vignettes etc.) and build sales collateral to generate leads
 </li>
 <li>
 Team requirements: Guides juniors on analytical methodologies and platforms, and helps in quality checks
 </li>
 <li>
 Contributes to team's content &amp; IP development
 </li>
 <li>
 Imparts technical trainings to team members and consulting cohort
 </li>
 <li>
 Technical Skills: Strong proficiency in statistics (concepts &amp; methodologies like hypothesis testing, sampling, etc.) and its application &amp; interpretation
 </li>
 <li>
 Hands-on data mining and predictive modeling experience (Linear Regression, Clustering (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees), Timeseries (SARIMAX/Prophet)etc.
 </li>
 <li>
 Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML etc.)
 </li>
 <li>
 At least one tool in each category;
 </li>
 <li>
 Programming language - Python (Must have), (R Or SAS OR PySpark), SQL (Must have)
 </li>
 <li>
 Data Visualization (Tableau, QlikView, Power BI, Streamlit) ,
 </li>
 <li>
 Data management (using Alteryx, MS Access, or any RDBMS)
 </li>
 <li>
 ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)
 </li>
 <li>
 Big data technologies ( Hadoop ecosystem, Spark)
 </li>
 <li>
 Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)
 </li>
 <li>
 Version Control (Git/Github/Git Lab)
 </li>
 <li>
 MS Office (Excel, PowerPoint, Word)
 </li>
 <li>
 Coding IDE (VS Code/PyCharm)
 </li>
 <li>
 GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)
 </li>
 <li>
 Functional Skills:
 </li>
 <li>
 Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
 </li>
 <li>
 Price optimization, promotion effectiveness, Product assortment optimization and sales force effectiveness, Personalization/Loyalty programs, Labor Optimization
 </li>
 <li>
 CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendation, loyalty, LTV maximization and churn prevention)
 </li>
 <li>
 Communicating with confidence and ease: You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 <ul>
 <li>
 Bachelor/Master's degree in a field linked to business analytics, statistics or economics, operations research, applied mathematics, computer science, engineering, or related field required; advanced degree preferred
 </li>
 <li>
 At least 2-4 years of relevant industry work experience providing analytics solutions in a commercial setting
 </li>
 <li>
 Prior work experience in a global organization, preferably in a professional services organization in data analytics role
 </li>
 <li>
 Demonstrated depth in one or more industries not limited to but including Retail, CPG, Healthcare, Telco etc
 </li>
 <li>
 Prior work experience in a global organization, preferably in a professional services organization in data analytics role to join our ranks. #BCGXjob
 
 
 </li>
 </ul>
 Who You'll Work With
 
 
 Our data analytics and artificial intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Data Analyst, Predictive Analytics, India- X Delivery

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Salary range: Rs 800000 - Rs 1200000 (ie INR 8-12 LPA)
 
 
 Min Experience: 3 years
 
 
 Location: Bengaluru
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data across CRM, paid ads, social, and web analytics to uncover trends and performance insights
 </li>
 <li>
 Use AI-powered tools (e.g., ChatGPT, GenAI dashboards, automation platforms) to enhance reporting, forecasting, and analysis
 </li>
 <li>
 Build and automate dashboards to track KPIs, campaign effectiveness, and ROI
 </li>
 <li>
 Conduct market and competitor research using both traditional and AI-enhanced approaches
 </li>
 <li>
 Drive customer acquisition, retention, and engagement strategies based on data insights
 </li>
 <li>
 Collaborate with Content, Product, and Sales teams to align analytics with business goals
 </li>
 <li>
 Design and execute A/B tests, run experiments, and support predictive modeling initiatives
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of experience in marketing analytics, growth strategy, or business intelligence
 </li>
 <li>
 Strong command of tools such as GA4, HubSpot, Tableau, Power BI, or similar platforms
 </li>
 <li>
 Proficiency with AI/GenAI platforms for marketing insights and automation
 </li>
 <li>
 Ability to extract actionable insights from complex data and translate them into business impact
 </li>
 <li>
 Experience building dashboards and reports to support growth and performance tracking
 </li>
 <li>
 Excellent communication and collaboration skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on experience with predictive modeling, segmentation, and personalization using AI
 </li>
 <li>
 Familiarity with multiple digital marketing channels (SEO, SEM, email, paid ads, social)
 </li>
 <li>
 Knowledge of marketing automation and attribution modeling tools
 </li>
 </ul>
</div>

Marketing Analyst

Citi

<div>
 
 Services Analytics C10
 
 
 
 
 What do we do?
 
 
 
 <ul>
 <li>
 The Services Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the Services business focused on Institutional Clients (corporates &amp; financial institutions). The team works on business problems focused on driving acquisitions, cross-sell, revenue growth &amp; improvements in client experience.
 </li>
 <li>
 The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models &amp; other solutions, and designs go-to-market strategies for a huge variety of business problems.
 
 
 </li>
 </ul>
 
 Role Description
 
 
 
 <ul>
 <li>
 The role will be Business Analyst (C10) in the Services Analytics team
 </li>
 <li>
 The role will report to the AVP or VP leading the team
 </li>
 <li>
 The role will involve working on multiple analyses through the year on business problems across the client life cycle &ndash; acquisition, engagement, client experience and retention &ndash; for the Services business
 </li>
 <li>
 This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile &amp; engagement data, transactions &amp; revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree with 4+ years of experience in data analytics, or Master&rsquo;s Degree with 2+ years of experience in data analytics, or PhD.
 </li>
 <li>
 Must have:
 </li>
 <ul>
 <li>
 Experience in business analytics in one or more of these domains - Sales, Marketing, Pricing, Customer Experience
 </li>
 <li>
 Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
 </li>
 <li>
 Experience working on multiple large data sets at different levels of granularity to bring out insights
 </li>
 </ul>
 <li>
 Good to have: Experience in financial services
 
 </li>
 </ul>
 
 Skills:
 
 
 
 
 Analytical Skills:
 
 
 
 <ul>
 <li>
 Proficient in formulating analytical methodology, identifying trends and patterns with data
 </li>
 <li>
 Has the ability to work hands-on to retrieve and manipulate data from big data environments
 
 
 </li>
 </ul>
 
 Tools and Platforms:
 
 
 
 <ul>
 <li>
 Proficient in Python/R, SQL
 </li>
 <li>
 Experience in Hive
 </li>
 <li>
 Proficient in MS Excel, PowerPoint
 </li>
 <li>
 Good to have:
 </li>
 <ul>
 <li>
 Experience with PySpark
 </li>
 <li>
 Experience with Tableau
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Business Analysis
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
 
 
 </ul>
</div>

Business Analyst

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About Team And Role
 
 
 
 We&rsquo;re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it.
 
 
 This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering&mdash;ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
 
 
 You&rsquo;ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
 
 
 This is a high-agency, startup-style role&mdash;if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze &amp; Optimize eCommerce Product Data &ndash; Run deep SQL &amp; Python analyses to find opportunities in taxonomy, ontology, and structured data for search &amp; discovery improvements.
 </li>
 <li>
 Leverage LLMs for Analytical Solutions &ndash; Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
 </li>
 <li>
 Evaluate &amp; Improve AI/ML Models &ndash; Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
 </li>
 <li>
 Drive Insights &amp; Strategy &ndash; Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.
 </li>
 <li>
 Integrate with AI/ML Teams &ndash; Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
 </li>
 <li>
 Prototype and Experiment &ndash; Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 4 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation.
 </li>
 <li>
 Product Analytics Attitude &ndash; Familiarity with eCommerce search, recommendations, and knowledge graph applications
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Build the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Move fast &amp; own impactful projects in a startup-like, high-agency culture.
 </li>
 <li>
 Work directly with AI, Data Science, and Product teams to shape taxonomy &amp; ontology strategies.
 </li>
 <li>
 Get hands-on with AI/ML in a real-world, high-scale environment.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Scientist, Knowledge Management

<div>
 The Business Analytics Int Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Gathers operational data from various cross functional stakeholders to examine past business performance.
 </li>
 <li>
 Identifies data patterns &amp; trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
 </li>
 <li>
 Recommends actions for future developments &amp; strategic business opportunities, as well as enhancements to operational policies.
 </li>
 <li>
 May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
 </li>
 <li>
 Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
 </li>
 <li>
 Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
 </li>
 <li>
 Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 4-6 years relevant experience in SAS/SQL, Tableau
 </li>
 <li>
 Experience on KPI Reporting, Campaign Analytics, Marketing Analytics
 </li>
 <li>
 Advanced process management skills, organized and detail oriented
 </li>
 <li>
 Curious about learning and developing new skillsets
 </li>
 <li>
 Positive outlook with a can-do mindset
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Business Analysis
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 Campaign Analytics, KPI Reporting, Marketing Analytics, SAS SQL, Tableau (Software).
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
 
 
</div>

Business Analytics Analyst

Scoutit

<div>
 Hiring
 
 Business Analysts
 
 to analyze requirements, translate them into actionable insights, and ensure smooth communication between the teams.
 
 
 
 Salary
 
 : INR 5,00,000 - 10,00,000 / year (based on experience)
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Provide real-time system monitoring for Razorpay s top merchants and enterprise-wide transactions, with immediate stakeholder alerts during performance issues
 </li>
 <li>
 Transform merchant key metrics into actionable business intelligence through comprehensive data analysis
 </li>
 <li>
 Execute timely communication to stakeholders during system incidents or data anomalies
 </li>
 <li>
 Build and maintain interactive dashboards for internal performance tracking and metric visualization
 </li>
 <li>
 Identify meaningful patterns, trends, and inferences through data analytics
 </li>
 <li>
 Collaborate cross-functionally with internal teams to resolve issues and implement improvements
 
 
 </li>
 </ul>
 
 Eligibility
 
 
 
 <ul>
 <li>
 Proven ability to manage and interpret large-scale datasets
 </li>
 <li>
 Hands-on experience with business intelligence tools and data manipulation techniques (Tableau, Looker, etc)
 </li>
 <li>
 Knowledge of SQL for data extraction and analysis
 </li>
 <li>
 Strong communication skills
 
 
 </li>
 </ul>
 (*Note: This is a requirement for one of Scout's clients)
 
 
 Skills: business intelligence,analytics,data analysis
</div>

Explore 281+ Analytics specialist in Mangaluru this October. Find roles across top companies and apply now to boost your career.

281 analytics specialist jobs IN Mangaluru

HR Reporting & PA Specialist – HR Operations

Data Analyst, Predictive Analytics, India- X Delivery

Marketing Analyst

Business Analyst

Data Scientist, Knowledge Management

Business Analytics Analyst

Business Analyst