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bi reporting analyst iii

Aditi India

<div>
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Disseminate information regarding tools, reports, or metadata enhancements.
 
 
 </li>
 <li>
 
 
 Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.
 
 
 </li>
 <li>
 
 
 Identify or monitor current and potential customers, using business intelligence tools
 
 
 </li>
 <li>
 
 
 Synthesize current business intelligence or trend data to support recommendations for action.
 
 
 </li>
 <li>
 
 
 Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
 
 
 </li>
 <li>
 
 
 Manage timely flow of business intelligence information to users.
 
 
 </li>
 <li>
 
 
 Identify and analyze industry or geographic trends with business strategy implications.
 
 
 </li>
 <li>
 
 
 Provide technical support for existing reports, dashboards, or other tools.
 
 
 </li>
 <li>
 
 
 Maintain library of model documents, templates, or other reusable knowledge assets.
 
 
 </li>
 <li>
 
 
 Create or review technical design documentation to ensure the accurate development of reporting solutions.
 
 
 </li>
 <li>
 
 
 Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.
 
 
 </li>
 <li>
 
 
 Document specifications for business intelligence or information technology (IT) reports, dashboards, or other outputs.
 
 
 </li>
 <li>
 
 
 Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
 
 
 </li>
 <li>
 
 
 Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
 
 
 </li>
 <li>
 
 
 Analyze technology trends to identify markets for future product development or to improve sales of existing products.
 
 
 </li>
 <li>
 
 
 Analyze competitive market strategies through analysis of related product, market, or share trends.
 
 
 </li>
 <li>
 
 
 Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 
 
 Undergraduate degree preferred Computer Science/Management Information Systems or related field desired
 
 
 </li>
 <li>
 
 
 Microsoft experience , Word, Excel
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Skills:
 
 
 
 <ul>
 <li>
 
 
 Strong analytical skills.
 
 
 </li>
 <li>
 
 
 Knowledge of SQL and relational databases as well as BI tools such as Client Quicksight.
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 #AditiIndia
 
 
 
 #
 
 
 25-24150
 
 
 
</div>

BI Reporting Analyst III

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

Data Analyst

Circana

<div>
 
 BI Engineer/ Data Analyst
 
 
 
 
 Let&rsquo;s be unstoppable together!
 
 
 
 At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified&trade; by Great Place To Work&reg;. This prestigious award is based entirely on what current employees say about their experience working at Circana.
 
 
 
 What will you be doing?
 
 
 
 The BI Engineer II will be collaborating with team members to create rich reporting and data visualizations, enabling leaders to quickly digest information and make decisions. You will use your understanding of data visualization, analytics, and statistics to communicate valuable insights that enable functional leaders to quickly digest information and make decisions.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Utilize the business intelligence enterprise development suite to create, maintain and publish reports, dashboards, scorecards, and other visual information displays through front end interfaces as well as through application and database programming.
 </li>
 <li>
 Collaborate with team members to understand business insight needs from clients, product teams, and other commercially facing business units, and how those needs translate to functional requirements.
 </li>
 <li>
 Write stable, abstracted, reusable, and efficient code.
 </li>
 <li>
 Design and utilize automation methods and discover efficiencies where possible.
 </li>
 <li>
 Work with managers to identify and understand data visibility gaps.
 </li>
 <li>
 Provide content to our dataviz knowledge base.
 </li>
 <li>
 Proactively develop and maintain technical knowledge in BI, Reporting, and Visualizations.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in the data/BI space.
 </li>
 <li>
 Degree or equal work experience in Computer/Data Science, Technology and/or other related fields; advanced degrees and/or specializations a plus.
 </li>
 <li>
 Experience in one or more business intelligence technologies, with the ability to visualize and report data insights clearly.
 </li>
 <li>
 Thrives in a diverse team. Collaborates well with team members, colleagues, and clients.
 </li>
 <li>
 Passion for data and its fundamental ability to create value.
 </li>
 <li>
 Good communicator able to articulate concepts to peers, clients, and managers.
 </li>
 <li>
 Continuous learner, expanding current skillset as well as new technologies identified by the business.
 </li>
 <li>
 Proven development skills in Business Intelligence tools, including, but not limited to, PowerBI, MicroStrategy, and Tableau. Experience in Circana tools Unify+, Genius Script, and Intelligence Suite preferred.
 </li>
 <li>
 Demonstrated experience building measures and metrics, defining custom dimensions and tuning performance for a superior user experience.
 </li>
 <li>
 Experience in Power Platform including Power Apps and Power Automate.
 </li>
 <li>
 Fluent in SQL, Pyspark, R, Python, or Scala.
 </li>
 <li>
 Experience in agile development teams such as scrum and Kanban, as well as DevOps development environment.
 </li>
 <li>
 Understanding of database structure principles required.
 </li>
 <li>
 Preferred experience Javascript and/or CSS experience.
 
 
 </li>
 </ul>
 
 Circana Behaviors
 
 
 
 As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:
 
 
 <ul>
 <li>
 Stay Curious: Being hungry to learn and grow, always asking the big questions.
 </li>
 <li>
 Seek Clarity: Embracing complexity to create clarity and inspire action.
 </li>
 <li>
 Own the Outcome: Being accountable for decisions and taking ownership of our choices.
 </li>
 <li>
 Center on the Client: Relentlessly adding value for our customers.
 </li>
 <li>
 Be a Challenger: Never complacent, always striving for continuous improvement.
 </li>
 <li>
 Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
 </li>
 <li>
 Commit to each other: Contributing to making Circana a great place to work for everyone.
 
 
 </li>
 </ul>
 
 Location
 
 
 
 This position can be located in the following area(s): Bangalore
 
 
 &ldquo;An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission&rdquo;
</div>

Amazon

<div>
 
 Description
 
 
 
 Global Finance Solutions (GFS) is looking for a Business Analyst I (Level 4) responsible for the development and the implementation of Business Intelligence and analytics in the Finance functions. GFS is a finance department that manages the accounting, reporting and analysis work for global finance teams in Amazon. GFS FP&amp;A services management-reporting activities, is a key contributor in planning, budgeting &amp; forecasting activities, leverages data analytics and visualization to drive standardization &amp; automation on projects, and develops plug and play tools for Finance teams.
 
 
 The business analyst is responsible for deriving deep insights about various business functions and driving continuous improvement using data. They should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root of the problems. They will work closely with program managers and business teams to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, scope out automation opportunities and most importantly work with different stakeholders to drive enhancement of existing processes over time.
 
 
 Key job responsibilities
 
 
  Collaborate with Financial Analysts, BI Engineers and Business stakeholders to design, develop influence operational best practices for reporting and analytics
 
 
  Bring an analytical and consulting mindset to look at existing processes, programs and develop strategies to improve business performance and mitigate risk
 
 
  Ideate and develop analytics to spot trends &amp; outliers, create scenarios and develop forecasts, generate insights through predictive analytics
 
 
  Perform data related activities - data discovery, cleaning, engineering, analysis &amp; visualization on multiple technology stacks, to improve operational &amp; business outcomes
 
 
  Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
 
 
  Participate in business requirements discussion and translate functional requirements into detailed systems design documents
 
 
  Effectively communicate status, issues, and escalations to leadership and business stakeholders
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 1+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and SQL and Python
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience making business recommendations and influencing stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in creating requirements documents and process flows
 </li>
 <li>
 Experience conducting large scale data analysis to support business decision making
 </li>
 <li>
 Verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
 </li>
 <li>
 Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data.
 </li>
 <li>
 An ability and interest in working in a fast-paced and rapidly-changing environment
 </li>
 <li>
 Advanced ability to draw insights from analysis supported by data and clearly communicate them to the stakeholders and senior management as required
 </li>
 <li>
 Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3141667
</div>

Business Analyst, GFS - PPT

Lowe's India

<div>
 
 
 About Lowe's
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 About the Team
 
 
 
 The Digital Commerce team at Lowe&rsquo;s India is an extension to the core Digital Commerce function at Lowes&rsquo; Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe&rsquo;s Digital Commerce business.
 
 
 
 
 
 
 Job Summary
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, technical elements, and metadata while conducting ongoing competitive analysis. Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO team ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 As an Analyst, you will serve as the primary data and analytics partner for the SEO team. The role requires strong focus on data analysis, performance tracking and measurement to uncover actionable insights and growth opportunities. The person will work in a fast-paced environment, digging deep into performance drivers and translating data into practical recommendations that drive key SEO and business metrics.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 <ul>
 <li>
 Analytics &amp; Reporting: Responsible for hands-on work across all stages of data-driven solutions &ndash; from data extraction from various sources, through data wrangling and aggregation, to building dashboards, reports, and insights that support business decision-making.
 </li>
 <li>
 Utilize tools like SQL, Power BI/Looker, Python, and enterprise SEO platforms to extract, process, and analyse large datasets and build scalable reporting structures.
 </li>
 <li>
 Use data-driven analysis of audience behavior, traffic sources, landing page performance, and keyword trends to identify and prioritize optimization opportunities.
 </li>
 <li>
 Development and maintenance of SEO dashboards and visualizations that enable timely, strategic decisions and stakeholder visibility.
 </li>
 <li>
 Perform deep-dive analyses to answer critical business and leadership questions, providing clear, timely insights and evidence-backed recommendations.
 </li>
 <li>
 Exposure to data science concepts (e.g., predictive modelling, machine learning, experimentation) with an interest in applying them to drive deeper insights and smarter business decisions.
 </li>
 <li>
 Leverage a strong understanding of AI and LLM capabilities to integrate them into everyday analytics work.
 </li>
 <li>
 Collaborate with cross-functional teams (Business, Tech, Content, Product) as an analytics partner, ensuring SEO and other digital initiatives are guided by robust measurement frameworks and clear KPIs.
 </li>
 <li>
 Present insights and recommendations through structured storytelling and performance summaries with internal stakeholders as well as leadership in a clear, business-friendly manner.
 </li>
 </ul>
 
 
 
 
 
 Years of Experience:
 
 
 <ul>
 <li>
 2-4 years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment.
 </li>
 <li>
 Background in SEO or digital/marketing/product analytics role is preferred.
 </li>
 <li>
 Experience in working with US-based companies or stakeholders/clients (preferred).
 </li>
 </ul>
 
 
 
 
 
 Primary Skills (must have)
 
 
 <ul>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Experience with data visualization and BI tools, especially Power BI and Looker Studio.
 </li>
 <li>
 Working knowledge of Python for data manipulation and analysis.
 </li>
 <li>
 Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics.
 </li>
 <li>
 Analytical mindset and ability to translate data into strategic action.
 </li>
 <li>
 Experience with workflow/project management tools (Workfront, Jira, etc.).
 </li>
 <li>
 Understanding of Generative AI tools and how to leverage them for SEO.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-impact projects across teams.
 </li>
 </ul>
 
 
 
 
 
 Secondary Skills (desired)
 
 
 <ul>
 <li>
 Familiarity with SEO platforms (Google Search Console, Botify, SEMrush).
 </li>
 <li>
 Theoretical knowledge/exposure to modern data pipelines and analytics stack (e.g., scheduled queries, Airflow, Google BigQuery, etc.)
 </li>
 <li>
 Hands-on experience in third-party/publisher tools for measurement.
 </li>
 </ul>
 
 
</div>

Analyst – SEO Analytics & Insights

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 We are seeking a Senior Planning &amp; Spend Management Analyst to support both production operations and internal IT organizations within LinkedIn&rsquo;s Infrastructure Business Engineering (IBE) team.
 
 
 This role is critical to driving financial discipline, cost transparency, and operational efficiency across infrastructure and technology investments. The successful candidate will partner closely with Finance, Procurement, Supply Chain, and Engineering teams to integrate budgeting with procure-to-pay processes, track performance against financial plans, and identify opportunities to optimize LinkedIn&rsquo;s cost to serve employees and members.
 
 
 You will operate at both a strategic and executional level&mdash;supporting long-term planning while prioritizing and enabling near-term operational actions.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, and clarity. This role is hybrid and will be performed from both home and a LinkedIn office on select days based on business needs.
 
 
 
 Responsibilities
 
 
 
 Planning, Budgeting &amp; Financial Management
 
 
 <ul>
 <li>
 Integrate budgets with procure-to-pay processes and systems to ensure all purchases and payments align with approved financial plans.
 </li>
 <li>
 Ensure accurate purchase requisition (PR) creation, including budget mapping, project attribution, and precise GL coding.
 </li>
 <li>
 Partner with Finance to track, analyze, and report actuals vs budget; investigate variances and support reconciliation efforts.
 </li>
 <li>
 Support capital and operating expense planning, including depreciation, accruals, and fixed asset alignment.
 
 
 
 </li>
 </ul>
 Procurement &amp; Spend Operations
 
 
 <ul>
 <li>
 Enable procurement services across the organization, providing guidance on procurement plans, metrics, policies, and reporting.
 </li>
 <li>
 Manage high volumes of complex and high-value transactions while maintaining strong vendor relationships.
 </li>
 <li>
 Review order confirmations for accuracy and compliance; drive timely resolution of discrepancies.
 </li>
 <li>
 monitor expensed and amortized expenses to observe accrual reporting and capture accurate operational expenses
 </li>
 <li>
 Work closely with Supplier, Contracts, and Payments teams to ensure smooth end-to-end execution.
 
 
 
 </li>
 </ul>
 
 Analytics, Reporting &amp; Process Optimization
 
 
 
 <ul>
 <li>
 Maintain and enhance spend analytics tools; enrich data to improve categorization, insights, and decision-making.
 </li>
 <li>
 Identify risks, inefficiencies, and cost-saving opportunities across procurement and supply chain processes.
 </li>
 <li>
 Drive continuous improvement initiatives to streamline procurement, planning, and spend governance workflows.
 </li>
 <li>
 Enhance Budget planning programs with financial, operational, and supplier risk analysis.
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner with internal IBE teams, Finance, Supply Chain, and Engineering to support operational and strategic initiatives.
 </li>
 <li>
 Actively participate in critical global supply chain management and procurement transformation projects.
 </li>
 <li>
 Support global teams across multiple time zones while ensuring consistency and quality of execution.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (B.S., B.B.M., B.E.) or MBA in Supply Chain, Business, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 7+ years of experience in product-based companies within IT or infrastructure organizations, working with vendors and internal stakeholders.
 </li>
 <li>
 5+ years of experience in budget planning or financial planning in a technology or product environment.
 </li>
 <li>
 2+ years of experience in procure-to-pay operations related to data center, infrastructure sourcing, procurement, or asset management.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong written, verbal, and presentation skills.
 </li>
 <li>
 Advanced analytical skills with experience in Power BI or other BI/reporting tools.
 </li>
 <li>
 Proficiency in Advanced Excel and ERP/procurement systems (Oracle, Coupa, Zip, ServiceNow, Jira, or similar).
 </li>
 <li>
 Working knowledge of financial concepts including CapEx/OpEx, depreciation, amortization, accruals, fixed assets, cost centers, and chart of accounts.
 </li>
 <li>
 General understanding of procure-to-pay processes (PRs, POs, pricing, invoicing, payments).
 </li>
 <li>
 Ability to drive change through process improvement and system enhancements.
 </li>
 <li>
 Technical understanding of infrastructure domains such as data centers, networks, compute, storage, end-user computing, and enterprise IT systems.
 </li>
 <li>
 Proven ability to operate in large, complex, global environments with remote teams.
 </li>
 <li>
 Strong organizational skills with the ability to prioritize, manage time effectively, and work under pressure.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Financial Planning &amp; Budget Management
 </li>
 <li>
 Procure-to-Pay Operations
 </li>
 <li>
 Spend Analytics &amp; Reporting
 </li>
 <li>
 ERP &amp; Procurement Systems
 </li>
 <li>
 Supplier &amp; Stakeholder Management
 </li>
 <li>
 Process Optimization &amp; Governance
 </li>
 <li>
 Infrastructure Cost Management
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Sr Infrastructure Business Operations Analyst

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