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data analyst

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 The Senior Commercial Data Analyst is responsible for leveraging analytical frameworks and tools to support the organization in planning, optimizing performance, and driving data-informed decision-making. This role is crucial in creating actionable insights by analyzing historical data, developing future projections, and generating business insights for key stakeholders. The analyst will also conduct campaign performance evaluations and deliver recommendations for process improvements. This position requires technical expertise, critical thinking, and strong stakeholder communication.
 
 
 
 
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 Role: Data Analyst
 
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 Location: Pune
 
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 Experience: 7 to 10 Years
 
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 Job Type: Full Time Employment
 
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 What You'll Do:
 
 
 
 
 
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 Path to Target Analysis
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 Purpose: Evaluate and project the expected performance of business plans (program plans, sales plans, event plans, etc.) against Annual Operating Plan (AOP) goals.
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 Activities:
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 Conduct 6-quarter look-back analysis of full funnel performance metrics.
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 Develop the methodology, analyze data, and provide business insights on the health of new customer acquisition commercial programs by market
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 Analyze spend and capacity data to create realistic future projections.
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 Validate inputs from cross-functional teams, ensuring alignment with historical and market data.
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 Deliver a "Path to Target" document outlining expected funnel metrics for proposed plans.
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 Purpose: Evaluate the success or failure of commercial programs to uncover actionable insights for future efforts.
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 Activities:
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 Analyze key traits of successful or unsuccessful campaigns.
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 Identify root causes of poor performance and areas for improvement.
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 Deliver concise recommendations for optimizing future efforts.
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 Conduct stakeholder communication, data transformation, and quality assurance.
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 Business Insights
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 Purpose: Provide go-to-market, BDR, Sales, and marketing teams with actionable insights and recommendation based on visualizations/reports.
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 Activities:
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 Collaborate with Enterprise Apps on data and reporting requirements focused on ICP, channel reporting, economic metrics, and goal pacing.
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 Define metrics required for tracking progress on business objectives
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 Collaborate with Data Visualization team on requirements specification
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 Perform UAT on Visualizations created by Data Visualization team
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 Leverage visualizations to perform analysis on Revops business processes and generate insights
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 Refine and document business processes based on analysis and insights
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 Create supplementary executive reports based on visualizations and insights
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 Expertise You'll Bring:
 
 
 
 
 
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 Advanced proficiency in Snowflake, SQL, DBT, Quicksight, and Excel.
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 Behavioral Skills: - Strong problem-solving abilities. - Excellent communication and stakeholder management. - Time management and adaptability. - Attention to detail and critical thinking.
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 Functional Skills: - Business acumen and strategic thinking. - Data analysis and process improvement. - Ability to translate complex data into actionable insights.
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 Preferred Skills &amp; Qualifications
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 Prior experience with marketing analytics and campaign evaluations. - Familiarity with data visualization best practices. - Experience in stakeholder communication and cross-functional collaboration.
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 Key Outputs
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 "Path to Target" documents with realistic funnel metric projections.
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 Business insights presentations with actionable recommendations.
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 Benefits:
 
 
 
 
 
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 Competitive salary and benefits package
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 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
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 Opportunity to work with cutting-edge technologies
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 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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 Annual health check-ups
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 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
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 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
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 We support hybrid work and flexible hours to fit diverse lifestyles.
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 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
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 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Data Analyst

Valkyrie People Consulting

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Pune, India
 
 
 
 Industry:
 
 Automotive
 
 
 
 Experience:
 
 3+ years of experience in data analysis, preferably within the automotive or manufacturing sector.
 
 
 
 Position Overview:
 
 
 
 The Data Analyst will be responsible for gathering, analyzing, and interpreting data to help the automotive company improve its operations, optimize supply chains, enhance customer satisfaction, and make informed business decisions. This role requires a strong background in data analysis techniques and tools, as well as a solid understanding of the automotive industry. The Data Analyst will work closely with cross-functional teams, including operations, marketing, sales, and finance, to provide insights that drive business performance and efficiency.
 
 
 
 Key Responsibilities:
 
 
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 Data Collection &amp; Management:
 
 Collect, clean, and manage data from various sources, including production data, sales data, customer feedback, and supply chain metrics.
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 Data Analysis:
 
 Analyze large datasets to identify trends, patterns, and correlations. Use statistical tools to interpret data and provide actionable insights for process improvement and business decisions.
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 Performance Monitoring:
 
 Develop and monitor key performance indicators (KPIs) related to production efficiency, sales performance, customer satisfaction, and other business operations.
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 Reporting &amp; Visualization:
 
 Create clear and concise reports, dashboards, and visualizations to communicate findings to business leaders and stakeholders.
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 Predictive Analytics:
 
 Use predictive modeling and machine learning techniques to forecast demand, optimize inventory levels, and identify potential issues in production or supply chains.
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 Collaboration:
 
 Work closely with production, supply chain, sales, and marketing teams to identify opportunities for efficiency improvements and support data-driven decision-making processes.
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 Market &amp; Customer Analysis:
 
 Analyze customer behavior and market trends to help improve product offerings, marketing strategies, and customer engagement.
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 Automation &amp; Process Improvement:
 
 Identify opportunities to automate repetitive data collection and reporting tasks, streamlining processes and improving data accuracy.
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 Quality Control:
 
 Ensure the accuracy and reliability of data by conducting regular audits and validation checks.
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 Qualifications &amp; Requirements:
 
 
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 Proven experience as a Data Analyst or in a similar role, preferably in the automotive or manufacturing industry.
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 Proficiency in data analysis tools such as Excel, SQL, Python, R, or other relevant software.
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 Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
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 Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
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 Familiarity with automotive industry trends, supply chain processes, and production metrics is a plus.
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 Excellent analytical and problem-solving skills, with a keen eye for detail.
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 Ability to communicate complex data insights clearly to non-technical stakeholders.
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 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field. A Master&rsquo;s degree or relevant certifications is an advantage.
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 Personal Attributes:
 
 
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 Results-driven with a strong focus on delivering data-driven insights that impact business performance.
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 Strong communication skills, able to translate data findings into actionable recommendations.
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 Detail-oriented with a focus on accuracy and data integrity.
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 Ability to work effectively in a team environment and manage multiple tasks simultaneously.
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 Passion for the automotive industry and eagerness to stay updated on new data technologies and trends.
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</div>

Siemens Digital Industries Software

<div>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 
 
 Siemens Digital Industries Software is seeking a highly analytical and detail-oriented Data Analyst to join our team, with a focus on market and competitive intelligence. In this role, you will be instrumental in collecting, cleaning, and interpreting various data sets to uncover trends, patterns, and actionable insights. You will apply advanced analytical techniques, including correlation analysis, statistical analysis, and the development of predictive models, to inform strategic decisions and improve efficiency across different time zones. This position will work directly with US based peers. A key responsibility will be to translate complex analytical findings into clear, compelling, and informative PowerPoint presentations for diverse audiences.
 
 
 
 Key Responsibilities:
 
 
 
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 Data Collection &amp; Sourcing: Identify, extract, and consolidate data from diverse internal and external sources.
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 Data Cleaning &amp; Preprocessing: Ensure the accuracy, consistency, and completeness of data through validation and transformation processes, preparing it for analysis.
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 In-depth Data Analysis: Conduct comprehensive analysis including identifying significant trends, patterns, anomalies; understand relationships between different variables; and develop and apply predictive models (e.g., regression, time series forecasting).
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 Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights.
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 Reporting &amp; Presentation: Design and create highly informative and visually engaging PowerPoint presentations and/or reports to effectively communicate analytical results and insights.
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 Collaboration &amp; Stakeholder Engagement: Partner closely with global Strategic Planning and Data Analytics teams maintaining effective handoffs.
 
 
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 Qualifications:
 
 
 
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 Advanced Data Analysis: Strong proficiency in statistical analysis, hypothesis testing, regression analysis, time series analysis, and other quantitative methods.
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 Predictive Modeling: Demonstrated experience in developing and applying predictive models to real-world business problems.
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 Presentation &amp; Communication: Exceptional ability to create clear, compelling, and visually appealing PowerPoint presentations that effectively convey complex analytical findings and tell a data story. Excellent verbal and written communication skills.
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 Problem-Solving: Highly analytical mindset with strong problem-solving skills and the ability to translate business questions into analytical frameworks.
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 Attention to Detail: Meticulous attention to detail in data accuracy, analysis, and reporting.
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 Educational and Work Background: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
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 Experience: 3+ years of professional experience in a dedicated Data Analyst, Business Intelligence Analyst, or similar role with a strong emphasis on statistical analysis, predictive modeling, and reporting.
 
 
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 Working at Siemens Digital Industries Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Transform the everyday
 
 
 
</div>

Danfoss

<div>
 
 
 The Impact You'll Make
 
 
 
 As our new Data Analyst, you&rsquo;ll turn complex supply chain data into simple, powerful digital tools that help our global teams make faster, smarter decisions. Your work will directly shape how we run our factories, plan our operations, and prepare for an AI-enabled future.
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
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 Designing and deploying Power BI dashboards, Power Apps, and automated workflows that simplify daily operations
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 Connecting data from MES/MOM, ERP (SAP), and BI systems to create true end-to-end visibility
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 Driving digitalization of core supply chain processes by automating manual reports and building intuitive self-service tools
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 Enabling AI readiness by identifying high-value data use cases and improving data quality and structure
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 Partnering globally with factories, logistics, and procurement teams to ensure solutions deliver measurable business value.
 
 
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 What We're Looking For
 
 
 
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 strong experience in Microsoft Power Platform (Power BI, Power Apps, Power Automate). Knowledge of data modeling and integration (SQL, DAX, or Python)
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 Experience digitalizing or optimizing supply chain or manufacturing processes.
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 Ability to communicate insights clearly and influence stakeholders across functions.
 
 
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 Competencies
 
 
 
 Frontline Passion
 
 
 Run the business like your own
 
 
 Think DANFOSS
 
 
 
 
 Ready to Make a Difference?
 
 
 
 If this role excites you, we&rsquo;d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.
</div>

Amber

<div>
 
 
 About the Role
 
 
 
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst Intern
 
 to join our central analytics team and help transform data into actionable insights for business teams. This role is ideal for someone passionate about data storytelling, dashboards, and enabling business decisions through analytics.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 Support the analytics team in data extraction, validation, and transformation across multiple business domains.
 
 
 Build and maintain dashboards to track business KPIs and campaign performance.
 
 
 Perform exploratory analysis to identify trends, patterns, and opportunities.
 
 
 Assist in data quality checks, report automation, and documentation of key metrics.
 
 
 Collaborate with cross-functional teams (Finance, Marketing, Product, and Operations) to deliver quick, accurate insights.
 
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 
 Strong SQL skills and familiarity with data visualization tools (Tableau, Power BI, or Looker).
 
 
 Good understanding of business metrics, data cleaning, and analytics fundamentals.
 
 
 Basic knowledge of Python or Excel for data analysis is a plus.
 
 
 Curiosity to learn, high ownership, and a structured approach to problem-solving.
 
 
 Currently pursuing or recently completed a degree in Engineering, Statistics, Mathematics, Economics, or a related field.
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Gain
 
 
 
 
 
 
 Hands-on experience with real-world data at scale.
 
 
 Exposure to end-to-end analytics workflows from raw data to executive insights.
 
 
 Mentorship from experienced analysts and data leaders.
 
 
 Opportunity to convert to a full-time role based on performance.
 
</div>

Intern Data Analyst

<div>
 
 
 About Amber (https://amberstudent.com)
 
 
 
 
 
 
 
 Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
 
 
 
 
 We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
 
 
 
 
 
 
 
 If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
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 Developing and maintaining databases, data systems
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 Performing analysis to assess quality and meaning of data
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 Generate dynamic dashboards and reports
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 Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
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 Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
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 Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data
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 </ul>
 
 
 
 
 
 Skills required:
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 SQL (Redshift, BigQuery, or PostgreSQL)
 
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 <li>
 Familiarity with
 
 Python or R
 
 for data wrangling and light ML
 </li>
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 Comfort with
 
 BI tools
 
 &mdash; Tableau, Power BI, or Google Data Studio
 </li>
 <li>
 Solid grounding in
 
 data cleaning, feature engineering, and visualization
 
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 Curious about the
 
 why
 
 behind metrics &mdash; not just reporting numbers but questioning them
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 ,
 
 funnels
 
 ,
 
 marketing attribution
 
 , or
 
 user cohort analysis
 
 is a plus
 </li>
 <li>
 Good communication skills &mdash; able to convert data findings into actionable business stories
 </li>
 </ul>
 
 
</div>

<div>
 
 
 About the Role
 
 
 
 
 
 
 We&rsquo;re looking for a
 
 Product Analyst Intern
 
 to support our product analytics function in measuring and improving product performance. You&rsquo;ll work closely with product managers, engineers, and designers to uncover insights that shape product strategy and user experience.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 Analyze user behavior and funnel performance to identify conversion drivers and drop-offs.
 
 
 Track and evaluate A/B experiments and feature rollouts.
 
 
 Build dashboards and reports to monitor product KPIs (engagement, retention, feature adoption, etc.).
 
 
 Support ad-hoc deep dives to answer product and growth-related questions.
 
 
 Partner with product and data engineering teams to improve event tracking and data quality.
 
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 
 Strong analytical skills with proficiency in SQL.
 
 
 Understanding of product metrics such as conversion funnels, retention, and engagement.
 
 
 Ability to work with large datasets and translate findings into actionable insights.
 
 
 Basic understanding of experimentation and A/B testing.
 
 
 Eagerness to learn, take ownership, and collaborate in a fast-paced environment.
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Gain
 
 
 
 
 
 
 End-to-end exposure to how data shapes product decisions.
 
 
 Experience working with cross-functional teams on live product initiatives.
 
 
 Mentorship from experienced product analysts and data scientists.
 
 
 A chance for a full-time conversion based on performance and business need.
 
 
 
</div>

Intern - Product Analyst

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Intern - Product Analyst