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business analyst - data & ai

data analyst sql python and power bi

Gainwell Technologies

<div>
 
 Summary
 
 
 
 As a
 
 Data Analyst
 
 at Gainwell, you can contribute your skills as we harness the power of technology. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) &amp; Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to analysis of the application development and does not include handling or processing of sensitive health information. Here are the details on this position.
 
 
 
 Your role in our mission
 
 
 
 <ul>
 <li>
 Designs, implements and maintains access methods, access time, validation checks, organization, documentation, and statistical methods to ensure that requirements are satisfied.
 </li>
 <li>
 Review requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and specifications.
 </li>
 <li>
 Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing demands and consistency.
 </li>
 <li>
 Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable).
 </li>
 <li>
 Investigates and resolves technical matters of significance by analysing and determining possible causes to ensure stakeholders satisfaction.
 </li>
 <li>
 Provides work direction and guidance to less experienced personnel to ensure that specifications are met.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Seeking good analytical resources with at least 4 years of experience of working on analytical scorecards/dashboards.
 </li>
 <li>
 Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Power BI etc and Data Handling are desirable.
 </li>
 <li>
 Decent knowledge of ML/AI models will be an added advantage.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Experience working with statistical software and product configurations.
 </li>
 <li>
 Experience working with relevant programming languages and RDMS for general software development.
 
 
 </li>
 </ul>
 
 What You Should Expect In This Role
 
 
 
 <ul>
 <li>
 Opportunity to work on challenging, impactful projects leveraging the latest technologies.
 </li>
 <li>
 A collaborative and supportive team environment where your contributions are recognized.
 </li>
 <li>
 Access to resources and opportunities for continuous learning and skill development.
 </li>
 <li>
 Recognition for your technical expertise and problem-solving abilities.
 </li>
 <li>
 Career growth in a fast-paced, innovative organization.
 </li>
 <li>
 Work Environment: Hybrid/Remote.
 </li>
 <li>
 Work Hours: The working hours for this role are 1:00 PM to 10:00 PM (IST). There may be few scenarios where you may have to stretch in case of important/urgent calls.
 </li>
 </ul>
</div>

Data Analyst (SQL, Python and Power BI)

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

MakeMyTrip

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Reporting: Design and maintain complex MIS reports (DWM) using advanced logic, ensuring data translates into actionable business intelligence.
 </li>
 <li>
 Visualization &amp; Storytelling: Create intuitive dashboards and visual representations of data (using Excel or BI tools) to help non-technical stakeholders understand the numbers at a glance.
 </li>
 <li>
 Process Automation: Proactively identify repetitive manual tasks and minimize turnaround time using Macros/VBA or advanced formula logic.
 </li>
 <li>
 Data Integrity &amp; Management: Act as the gatekeeper of data quality, performing deep-dive reconciliation and validation before publishing numbers.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL .
 </li>
 <li>
 Advanced Excel (Pivot tables, charts, formulas, etc.).
 </li>
 <li>
 Experience with BI/Visualization tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with large datasets and derive actionable insights.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field.
 </li>
 <li>
 Experience in MIS reporting, dashboard creation, or business analytics.
 </li>
 <li>
 Knowledge of Python/R (optional but good to have).
 </li>
 </ul>
</div>

Data Analyst

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>

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

<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 a Senior 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.
 
 
 
 
 
 
 Roles &amp; 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>
 Analytics innovation: Proactively identify new analysis use cases and opportunities to improve efficiency (e.g., automation, advanced modelling, forecasting) that enable deeper, repeatable insight generation.
 </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>
 4-7 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>
 Strong proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Practical 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>
 Strong 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>
 Proven 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>
 Interest/exposure to advanced analytics techniques such as time-series forecasting, regression modelling, etc.
 </li>
 <li>
 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>

Senior SEO 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>

Explore 636+ Data analyst sql python and power bi in Mangaluru this December. Find roles across top companies and apply now to boost your career.

636 data analyst sql python and power bi jobs IN Mangaluru

Data Analyst (SQL, Python and Power BI)

Data Analyst - AI & ML

Data Analyst

Data Analyst

Analyst – SEO Analytics & Insights

Senior SEO Analyst

Data Analyst