marketing analytics analyst

Target

<div>About Us
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn&rsquo;t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target&rsquo;s global team and has more than 4,000 team members supporting the company&rsquo;s global strategy and operations.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win
Overview about Target in India 
 
At Target, we have a timeless purpose and a proven strategy. And that hasn&rsquo;t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target&rsquo;s global team and has more than 4,000 team members supporting the company&rsquo;s global strategy and operations.
Pyramid Overview 
Roundel, Target&rsquo;s retail media network, offers the world&rsquo;s leading advertisers industry leading digital advertising solutions. More than &frac34; of American adults shop Target, which translates into incredible scale for advertisers to connect directly with our guests and deliver best-in-class marketing outcomes! We design and deliver impactful marketing for brands and their agencies resulting in engagement and incremental sales that can be measured online and in-store all in premium, brand-safe environments. 
 
About The Job 
 
The Performance &amp; Insights (P&amp;I) team is responsible for delivering the campaign performance and insights to advertisers. As a Senior Analyst - Performance &amp; Insights Capability Development, you will play an integral part in shaping how Roundel advances its analytic capabilities &amp; related processes from a measurement and reporting perspective to a) deliver more performant media plans to our clients and b) provide deeper, more comprehensive and more actionable performance insights in the post-campaign evaluations. In this role, you will play a key role in shaping the future of media measurement strategy for roundel, esp. with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics for our advertisers. 
 
You will partner closely with cross-functional teammates in the areas of PSG, Product, Strategy, Go-To-Market and Sales to formulate innovative ideas, develop proofs of concepts and contribute to the development of solution roadmaps paving the way to scaling and implementing the solutions. Success in the role will be tied to your ability to blend deep analytics and insights experience in a retail and/or digital media context, consultative problem-solving and working effectively in a matrixed, cross-functional structure. 
 
Key Responsibilities 
 
Build &amp; codify media performance measurement strategies: Collaborate with internal/external stakeholders to create capabilities and processes to drive best in-class efficiency, effectiveness to back roundel&rsquo;s media performance 
 
Be the Subject matter expert in the measurement of marketing investment impact for advertisers using advanced analytical solutions and methods. 
 
Develop, deploy, and evangelize measurement solutions including test/control experimentation, brand lift studies, econometric models, research-based solutions, etc. 
 
Support innovative approaches for media effectiveness measurement: Identity &amp; build new approaches to measure media effectiveness efforts targeted toward varied audiences, placements and creative analysis. 
 
Supporting custom analytics projects for the P&amp;I team to land the value of roundels media with the advertisers which the current analyst facing products don&rsquo;t serve. 
 
Own and create processes that enable a range of internal and external stakeholders to leverage roundel data for driving initiatives like media mix modelling 
 
Monitoring and reporting campaign performance with granular tracking across relevant KPIs, including but not limited to impressions, clicks, web visitors, video views etc 
 
Work with Cross-functional teams &ndash; Product, Measurement, BII &amp; GTM to align on the measurement strategy 
 
Identify automation opportunities, gaps in technology &amp; tools and work with product and business operations team to find solutions &amp; support implementation 
 
 Contribute to team upskilling efforts required to familiarize the team with the data products as well as new measurement methodologies 
 
About you:<ul><li>
4-5 yrs of working experience in of digital advertising, client consulting and/or retail analytics experience</li><li>
Masters or bachelor&rsquo;s degree in one of the following: Analytics, Business Intelligence, Economics, Engineering</li><li>
Deep expertise in digital marketing performance measurement and campaign strategy along with related KPIs</li><li>
Hands-on experience in applied analytics, model building and statistical method selection</li><li>
Experience in new solution development, including media measurement, device/app measurement, alongside expertise in incrementality measurement through various Lift studies</li><li>
Intermediate (or higher) capabilities with SQL, R and/or Python to source/organize data and build initial models as proofs of concept</li><li>
Ability to facilitate communication between business and technology teams</li><li>
Strong communication skills with proven ability to influence peers, key stakeholders and leaders</li><li>
Expert at working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas)</li><li>
Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes</li></ul> 
Useful Links 
 
Life at Target- https://india.target.com/ 
Benefits- https://india.target.com/life-at-target/workplace/benefits
Culture- https://india.target.com/life-at-target/belonging</div>

Sr Analyst Performance & Insights

Citi

<div>The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job. 
 
Responsibilities:<ul><li>
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>
Incumbents in this role may often be referred to as Data Scientists</li><li>
Specialization in marketing, risk, digital and AML fields possible</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>
1-3 years of experience</li><li>
Proficiency in coding using Python &amp; Pyspark</li><li>
Good understanding of Machine learning concepts and experience in implementing the same in real world problems</li><li>
Exposure to Gen AI tools and techniques</li><li>
Previous related experience preferred</li><li>
Possess analytic ability and problem solving skills</li><li>
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment</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:
Specialized Analytics (Data Science/Computational Statistics)
-
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.</div>

Spec Analytics Analyst

webuyanycar.com

<div><div><div><div><div><div><div>Why Join Us<ul><li>Direct impact on company growth and customer acquisition strategy.</li><li>Opportunity to shape the evolution of data-driven decision-making across marketing.</li><li>Competitive salary and comprehensive benefits package including medical, dental, vision, 401(k) with company match, paid time off, parental leave, and employee vehicle programs.</li><li>Collaborative and inclusive culture that values innovation and diverse perspectives.</li></ul> 
Get to know us!
CarGroup Holdings LLC, operating as webuyanycar.com&reg; USA, is a leading car buying service focused on delivering a fast, safe, and transparent selling experience. Currently, we are investing in advanced analytics to optimize marketing performance and drive profitable growth.
The Role
The Marketing Data Scientist will own the analytical and modeling strategy that powers customer acquisition and marketing investment decisions. This role is responsible for transforming large-scale marketing and customer data into predictive models, experimentation frameworks, and decision systems that directly impact revenue, customer lifetime value, and return on marketing spend.
This position plays a critical role in optimizing multi-channel acquisition strategy and influencing company-wide growth initiatives.
We are unable to offer sponsorship for this position.
-
What You Will Do<ul><li>Design and deploy predictive models that optimize customer acquisition, lifetime value (LTV), and marketing spend allocation across channels.</li><li>Develop scalable machine learning solutions that improve targeting, segmentation, and personalization.</li><li>Build and refine experimentation frameworks, including A/B testing and causal inference methodologies, to measure and validate marketing impact.</li><li>Partner with Marketing, Finance, and Executive Leadership to align data insights with profitability and growth objectives.</li><li>Identify opportunities to drive measurable incremental revenue through advanced analytics and modeling.</li><li>Create clear, executive-ready insights that translate complex analysis into actionable strategy.</li><li>Establish best practices for marketing analytics, model monitoring, and continuous optimization.</li><li>Collaborate cross-functionally with Data Engineering and IT to ensure data integrity, accessibility, and scalability.</li></ul>
-
What We&rsquo;re Looking For<ul><li>3+ years of experience in data science, marketing analytics, or a related quantitative role within a commercial business, preferably consumer-facing.</li><li>Strong proficiency in Python or R and SQL and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).</li><li>Experience building and deploying machine learning models in production environments.</li><li>Extensive practical expertise in predictive modeling, regression analysis, clustering, decision trees, neural networks, and classification methods, along with proficiency in frameworks such as TensorFlow and scikit-learn.</li><li>Skilled in using data visualization tools like Tableau and Power BI, as well as database query languages such as SQL.</li><li>Proficiency in big data technologies like Hadoop and Spark, as well as cloud platforms such as AWS, Azure, and Google Cloud.</li><li>Experience designing and analyzing A/B tests and applying statistical methods for causal inference.</li><li>Deep understanding of marketing performance metrics such as CAC, LTV, ROI, and attribution.</li><li>Strong business acumen with a demonstrated ability to translate analytics into revenue impact.</li><li>Excellent communication skills with the ability to interpret and communicate complex data analysis results in order to influence non-technical stakeholders.</li></ul> 
Advanced degree (Master&rsquo;s or PhD) in Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred. 
-
Physical Requirements:<ul><li>Prolonged periods of sitting at a desk and working on a computer.</li><li>Must be able to lift to 15 pounds at times.</li></ul></div></div></div></div></div></div></div><div></div>

Marketing Data Scientist

Stryker

<div><h3 class="jobSectionHeader">Why join Stryker?</h3>
Looking for a place that values your unique talents? Discover Stryker's award-winning culture. 
We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards &ndash; not to mention various social and recreational activities, all of which are location specific.<h3 class="jobSectionHeader">
Job description</h3>
We are excited to be named one of the World&rsquo;s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more:US Stryker employee benefits.<div>
We are looking for a motivated and detail-oriented analyst to join our team. This role will focus on tracking and reporting key product performance metrics through automated dashboards and data visualization tools. The ideal candidate is analytically driven, tech-savvy, and excited to translate complex data into actionable business insights.
While the preferred candidate will work in a hybrid capacity out of our Bloomington, MN or Columbia City, IN locations, we do have flexibility for this role to be fully remote. Candidates must be based in the Midwest.
Who we want
Hard-working winners. Confident, competitive and results-oriented professionals who create a track record of success.
Dedicated achievers. People who thrive in a fast-paced environment and ensure projects meet regulations and expectations.
Effective communicators. People who can interpret information clearly and accurately to concisely communicate results and recommendations to stakeholders.
Collaborative partners. People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices.
What you will do<ul><li>
Build and maintain dashboards that track product performance, sales trends, customer usage, and other key KPIs.</li><li>
Support the automation of recurring reports to improve efficiency and reduce manual work.</li><li>
Collaborate with cross-functional teams (marketing, finance, sales) to define reporting needs and ensure data accuracy.</li><li>
Extract, clean, and transform data from multiple sources to support business questions and ad hoc analyses.</li><li>
Monitor and troubleshoot data pipelines or dashboard performance to ensure timely and accurate reporting.</li><li>
Translate insights into clear visualizations and presentations for stakeholders across the organization.</li><li>
Assist in documenting dashboard logic, data definitions, and reporting processes.</li><li>
Support the business transition of data sources.</li></ul>
What you need
Required:<ul><li>
Minimum 2 years of work experience</li><li>
Bachelor&rsquo;s degree in business analytics, computer science, information systems, or related fields</li><li>
Professional experience with data visualization tools (Power BI, Tableau, etc)</li></ul>
Preferred:<ul><li>
Experience in data analysis, reporting or business intelligence</li><li>
Experience with SQL and ability to query relational databases</li></ul>
$69,500 - $90,000 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors. 
Posted Date: 02/23/2026 
This role will be posted for a minimum of 3 days.</div>
Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&amp;D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.</div>

Senior Analyst, Marketing Analytics (remote)

Astellas

<div>Title Brand Analytics Partner
Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong to Astellas!
Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com .
Astellas&rsquo; Global Capability Centers &ndash; Overview
 
Astellas&rsquo; Global Capability Centers (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are in India, Poland and Mexico.
 
The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.
 
Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company&rsquo;s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.
 
This position is based in Bengaluru and will require some on-site work.
Purpose and Scope:
The Pipeline and Brand Analytics Chapter Member is part of the Customer Engagement Excellence (CEE) team within the broader Value Delivery organization. CEE is an integrated global group focused on supporting capabilities across VALUE Delivery, including Commercial (Sales/Marketing), Market Access and Medical Affairs, to enhance delivery and outcomes to the business, whilst prioritizing ethical decision making. During all such activities, there is a need to ensure that the integrity and independence of Medical Affairs capabilities is not compromised. The Chapter Member is expected to proactively communicate and consult with their Chapter and Value Team Leads as necessary to ensure that the integrity and independence of Medical Affairs is maintained at all times.
 
 
The Pipeline and Brand Analytics Chapter Member drives analytic activities and outcomes aligned with the Pipeline and Brand Analytics Chapter, providing strategic analytic insights and actionable recommendations to stakeholders to support achievement of brand or pipeline objectives.
 
 
In the role of Chapter Member, the individual executes day-to-day activities within their assigned Value Team, with responsibilities that may vary according to the team&rsquo;s mandate. Within the Value Team, the Chapter Member focuses on resolving specific business challenges for the organization. Value Teams are established and evolve in response to changing business objectives, and Chapter Members serve as key business partners, applying their expertise to drive organizational results.
 
 
As a Value Team member, the individual collaborates with cross-functional resources to achieve defined objectives and outcomes, working from a prioritized backlog of tasks. The Chapter Member works directly with the Value Team Lead to execute the team&rsquo;s strategy and deliverables in alignment with its mission.
 
 
The Chapter Member receives capability and skillset development under the guidance of the Chapter Lead, who provides coaching and mentoring within the Agile model.
Responsibilities and Accountabilities:
Value Team Delivery:
<ul><li>Deliver day-to-day tasks and responsibilities as defined by the Value Team&rsquo;s mandate based on business objectives
</li><li>Support the Value Team Lead in executing the team&rsquo;s strategy and objectives
</li><li>Apply expertise to address and resolve specific business challenges identified by the Value Team, with a focus on achieving measurable outcomes as defined by the objectives
</li><li>Work collaboratively with cross-functional team members and stakeholders to accomplish prioritized objectives and deliverables
</li></ul>Area specific Responsibility &amp; Accountability:
<ul><li>Execute advanced analytics (e.g., segmentation, adherence, HCP network analysis, patient flows) to identify opportunities, drive brand/pipeline strategies, and inform investment decisions.
</li><li>Provide actionable, context-based insights and recommendations to stakeholders.
</li><li>Identify, standardize, and automate integration of critical reporting metrics and modeling tools to address brand/asset-specific needs and improve speed to insight.
</li><li>Manage projects to achieve timelines and deliverables
</li><li>Develop, define and deliver prioritized ad hoc analysis as needed to support evolving business requirements and to provide timely business insights.
</li></ul>Continuous Improvement:
<ul><li>Identify opportunities for process enhancements and participate in initiatives to improve team effectiveness and efficiency
</li><li>Drive analytical capability innovation through development of new methodologies/analytic techniques
</li></ul>Skill Development and Learning:
<ul><li>Engage in ongoing professional development and capability building, leveraging guidance from the Chapter Lead
</li><li>Lead selection and application of statistical modeling techniques; mentor colleagues on analytic methods.
</li><li>Maintain proficiency among data systems, programs, and software resources (e.g., AWS Redshift, Databricks, SQL, Python), to ensure optimal and efficient achievement of department objectives.
</li><li>Develop comprehensive understanding of various data sources, including HCP and consumer promotion data, as well as their appropriate applications, to facilitate rigorous analytic process design and reliable business insights generation.
</li></ul>Compliance and Best Practices:
<ul><li>Adhere to established standards, policies, and leading practices relevant to the Value Team and Chapter, ensuring compliance in areas such as data privacy
</li></ul>Agile:
<ul><li>Utilize agile approaches, collaborate in agile ceremonies and Ways of Working to ensure effective delivery for the business
</li><li>Collaborate and foster a culture of collaboration, flexibility, and responsiveness to change, enabling the team to thrive in an agile environment</li></ul></div>
 <div>Required Qualifications:
<ul><li>Bachelor&rsquo;s in data science, Statistics, or Computer Science or other analytics-related field
</li><li>Minimum of 6 years of experience in data analytics with proven experience in managing projects of increasing size and complexity.
</li><li>Familiarity and understanding of coding languages (e.g. SQL, Python is preferred).
</li><li>Working knowledge of various statistical modelling techniques and their application within complex analytical projects, e.g., regression modelling, ROI, natural language processing, machine learning, etc.
</li><li>Ability to interpret data in the context of brand/asset and commercial objectives.
</li><li>Excellent verbal and written communication skills.
</li><li>Pharmaceutical industry experience.
</li><li>Working knowledge of pharmaceutical data sources, e.g., JMDC, MDV.
</li><li>Working knowledge of Japan healthcare environment
</li><li>Understanding of the role of a global function within broader enterprise strategy
</li><li>Previous experience in a global role or working with cross-functional teams
</li><li>Highly coachable/ Thrives in an environment of continuous growth
</li></ul>Preferred Qualifications:
<ul><li>MS. in quantitative discipline or MBA with Marketing Analytics, Decision Science, or Analytical Finance Concentration
</li><li>Working knowledge of one or more data visualization tools such as Power BI, Tableau and QlikSense
</li><li>Experience working with global partners
</li></ul>Working Environment
<ul><li>This position is based in Global Capability Center (GCC) in India.
</li><li>To enable collaboration within the GCC 2-3 days per week on-site working is expected
</li><li>To enable collaboration with US stakeholders, this role is expected to work 2-11 pm.
</li><li>This role will be a member of a brand or pipeline specific Value Team working following agile methodology to deliver impact
</li></ul>&quot;Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help&rdquo;</div>

Brand Analytics Partner

Simple SEO Group

<div>
 
 
 About Simple SEO Group
 
 
 
 Simple SEO Group is a Digital Marketing Agency founded in 2008 and headquartered in Chicago. We specialize in delivering data-centric, results-driven digital marketing campaigns, websites, mobile applications, custom software, and LLMs. We&rsquo;ve worked with over 400 brands, ranging from SMBs to Fortune 1000 companies with work cited in notable outlets such as the Wall Street Journal, Forbes, and USA Today.
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 We&rsquo;re looking to add a Digital Analyst Intern to our team of 40+ fully-remote digital marketing and technology professionals. This individual should be self-motivated and highly communicative with an interest in digital marketing, website development, and/or data analytics. Our analysts work side-by-side with our Account Management team to help carry out day-to-day business operations. We are looking to get this individual started as soon as possible.
 
 
 
 
 
 
 Analyst Responsibilities
 
 
 <ul>
 <li>
 Provide full availability in an interrupted work environment for 10-20 hours per week.
 </li>
 <li>
 Assist in the implementation of digital marketing campaigns including but not limited to SEO, GEO, SEM, paid social, email, and SMS.
 </li>
 <li>
 Assist in website development initatives including design, development, and maintenance.&nbsp;
 </li>
 <li>
 Assist in data analytics and visualization projects in support of digital marketing and business initatives.&nbsp;
 </li>
 <li>
 Assist in content creation endeavors including display ads, video ads, and copywriting.
 </li>
 <li>
 Assist with miscellanious tasks and responsibilities as assigned by Account Managers &amp; Upper Management. &nbsp;
 </li>
 </ul>
 
 
 
 
 
 Analyst Requirements
 
 
 <ul>
 <li>
 Currently in your freshman or sophomore year of a 4-year undergraduate program.&nbsp;
 </li>
 <li>
 Pursuing an undergraduate degree in marketing, business, data analytics, computer science, engineering, infrmation systems, or a related field.&nbsp;
 </li>
 <li>
 Minimum 3.5 GPA.
 </li>
 <li>
 Prior work experience of any kind.&nbsp;
 </li>
 <li>
 Leadership experience during your time as an undergraduate and pre-undergadate student.&nbsp;
 </li>
 <li>
 Strong analytical and writing skills.
 </li>
 <li>
 Very strong attention to detail.
 </li>
 <li>
 Ability to work productively and communicatively in a fully-remote environment.&nbsp;
 </li>
 </ul>
 
 
 
 
 
 What Simple SEO Group Offers
 
 
 <ul>
 <li>
 $25/Hour
 </li>
 <li>
 Fully-Remote
 </li>
 <li>
 Flexible Work Hours (Create Your Own Schedule Within Business Hours)
 </li>
 <li>
 No Work on Fridays
 </li>
 <li>
 Unpaid Time Off
 </li>
 <li>
 Hands-on experience at a digital marketing agency with structured onboarding, opportunities for growth, and mentorship from senior staff.
 </li>
 </ul>
</div>

Digital Analyst Internship

PINKVILLA

<div>
 
 Data Analyst
 
 
 
 
 
 
 
 
 Location:
 
 Mumbai
 
 
 
 Experience:
 
 6&ndash;8 years
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Reporting to:
 
 Head of Growth / Product / Business Intelligence
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for an experienced Data Analyst who can combine strong analytical thinking with AI-powered tools to drive smarter, faster decision-making across product, content, and marketing. This role will play a critical part in analysing user behaviour, content performance, app funnels, and growth metrics &mdash; while leveraging AI for predictive insights, automation, and advanced analytics.
 
 
 The ideal candidate understands both traditional analytics and how AI can enhance efficiency, forecasting, personalisation, and optimisation.
 
 
 Key Responsibilities
 
 
 1) Product &amp; App Analytics
 
 <ul>
 <li>
 Analyse user journeys across the app (onboarding, content discovery, viewing behaviour, retention).
 </li>
 <li>
 Track DAU/MAU, retention, session duration, watch time, churn, and engagement cohorts.
 </li>
 <li>
 Identify funnel drop-offs and recommend data-backed improvements.
 </li>
 <li>
 Partner with Product teams to evaluate feature performance and experimentation results.
 </li>
 </ul>
 
 2) Content Intelligence &amp; Performance
 
 <ul>
 <li>
 Track short-form video performance, show engagement, IP growth, and category trends.
 </li>
 <li>
 Analyse completion rates, repeat consumption patterns, and content stickiness.
 </li>
 <li>
 Provide insights on format optimisation and audience segmentation.
 </li>
 <li>
 Support predictive modelling for identifying high-performing content themes.
 </li>
 </ul>
 
 3) Marketing &amp; Growth Analytics
 
 <ul>
 <li>
 Analyse install funnels (organic and paid), CPI, CAC, LTV, and retention cohorts.
 </li>
 <li>
 Evaluate marketing efficiency and attribution performance.
 </li>
 <li>
 Support experimentation across creatives, audiences, messaging, and growth loops.
 </li>
 <li>
 Identify organic growth levers using behavioural data insights.
 </li>
 </ul>
 
 4) AI-Driven Analytics &amp; Automation
 
 <ul>
 <li>
 Use AI tools and machine learning models for predictive analytics, churn prediction, and user segmentation.
 </li>
 <li>
 Leverage AI-powered platforms (e.g., Python ML libraries, AutoML tools, or AI-enabled BI tools) for forecasting and trend analysis.
 </li>
 <li>
 Automate reporting workflows using AI-based data summarisation and dashboard tools.
 </li>
 <li>
 Explore AI-driven recommendation systems to improve content discovery and retention.
 </li>
 <li>
 Identify opportunities to integrate AI into marketing optimisation and personalisation strategies.
 </li>
 </ul>
 
 5) Dashboarding &amp; Business Reporting
 
 <ul>
 <li>
 Build and maintain automated dashboards for leadership and cross-functional teams.
 </li>
 <li>
 Standardise KPI reporting across departments.
 </li>
 <li>
 Present insights in a simplified and actionable manner for non-technical stakeholders.
 </li>
 </ul>
 
 6) Cross-Functional Collaboration
 
 <ul>
 <li>
 Work closely with Product, Marketing, Content, Engineering, and Leadership teams.
 </li>
 <li>
 Translate complex datasets into strategic recommendations.
 </li>
 <li>
 Drive a data-first and AI-enabled decision-making culture within the organisation.
 </li>
 </ul>
 
 
 
 
 Key Skills &amp; Qualifications
 
 <ul>
 <li>
 6&ndash;8 years of experience in Data Analytics / Business Intelligence / Growth Analytics.
 </li>
 <li>
 Strong proficiency in SQL and advanced Excel/Google Sheets.
 </li>
 <li>
 Hands-on experience with analytics tools (Google Analytics, Firebase, Mixpanel, Amplitude, etc.).
 </li>
 <li>
 Experience with BI tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Working knowledge of Python or R for data analysis and basic ML modelling.
 </li>
 <li>
 Exposure to AI/ML concepts such as predictive modelling, clustering, regression, classification, and recommendation systems.
 </li>
 <li>
 Familiarity with AI tools for data automation, forecasting, and reporting.
 </li>
 <li>
 Strong understanding of app funnels, retention modelling, and cohort analysis.
 </li>
 </ul>
 
 
 
 
 Preferred Experience
 
 <ul>
 <li>
 Experience in digital media, OTT, or short-form video platforms.
 </li>
 <li>
 Exposure to AI-driven personalisation or recommendation engines.
 </li>
 <li>
 Experience working with attribution tools (AppsFlyer, Adjust, etc.).
 </li>
 <li>
 Understanding of experimentation frameworks and A/B testing methodologies.
 </li>
 </ul>
 
 
</div>

Data Analyst

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