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analytics manager

Wenger & Watson

<div>
 
 
 Key Responsibilities
 
 
 
 
 Business Consulting &amp; Client Relationship Management
 
 
 <ul>
 <li>
 Lead reporting and dashboarding engagements across industries such as
 
 Retail, Airlines, Automotive
 
 , and more.
 </li>
 <li>
 Build and maintain senior-level client relationships, ensuring alignment with business goals and driving account growth.
 </li>
 <li>
 Collaborate with sales and consulting teams to shape solutions for
 
 RFPs and proposals
 
 , including pricing and delivery models.
 </li>
 <li>
 Develop and deliver
 
 impactful presentations
 
 that communicate insights, strategy, and value clearly.
 </li>
 <li>
 Understand client reporting needs and translate them into scalable BI solutions using tools like
 
 Power BI, Tableau, Alteryx, SQL, Excel
 
 , etc.
 </li>
 <li>
 Articulate how
 
 AI/ML and GenAI
 
 can enhance BI capabilities, including automation, personalization, and predictive insights.
 </li>
 <li>
 Stay updated on industry best practices in
 
 reporting, data visualization, and AI for BI
 
 .
 </li>
 </ul>
 
 
 Delivery Management
 
 
 <ul>
 <li>
 Own end-to-end delivery of reporting solutions, from requirement gathering to deployment and support.
 </li>
 <li>
 Ensure timely and high-quality delivery across multiple projects, managing risks and dependencies.
 </li>
 <li>
 Define and track KPIs, ensuring measurable impact and client satisfaction (NPS).
 </li>
 <li>
 Mentor and guide teams in reporting best practices, dashboard design, and data storytelling.
 </li>
 <li>
 Ensure data governance, accuracy, and consistency across reporting platforms.
 </li>
 <li>
 Manage account-level P&amp;L, ensuring profitability and revenue growth.
 </li>
 </ul>
 
 
 The Person: Qualification &amp; Experience
 
 
 <ul>
 <li>
 
 10+ years
 
 of experience in analytics and consulting, with
 
 4+ years
 
 in leadership roles.
 </li>
 <li>
 Proven experience in delivering
 
 reporting and dashboarding solutions
 
 using
 
 Power BI, Tableau, Alteryx, SQL, Excel
 
 , etc.
 </li>
 <li>
 Strong domain expertise in
 
 Retail, Airlines, Automotive
 
 , or similar industries.
 </li>
 <li>
 Basic understanding of
 
 AI/ML techniques
 
 and
 
 GenAI concepts
 
 to support BI innovation.
 </li>
 <li>
 Excellent stakeholder management, including
 
 C-suite engagement
 
 across geographies.
 </li>
 <li>
 Experience in
 
 proposal development, RFP responses, and client presentations
 
 .
 </li>
 <li>
 Strong business acumen with the ability to
 
 quantify and articulate business value
 
 .
 </li>
 <li>
 Exceptional
 
 communication and articulation skills
 
 .
 </li>
 <li>
 Willingness to travel for client engagements.
 </li>
 </ul>
 
 
</div>

Analytics Manager

Indegene

<div>
 
 We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com
 
 
 
 
 
 Looking to jump-start your career?
 
 
 We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth
 
 
 
 
 Role: Senior Manager - Data &amp; Analytics
 
 
 
 
 
 Description:
 
 You will be responsible for: We are seeking a dynamic and experienced Senior Manager/Director to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
 
 
 &bull; Leads analytic engagements managing all stakeholders
 
 
 &bull; Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy
 
 
 &bull; Lead the assessment of existing ecosystems across key pillars, including client business portfolio plans &amp; objectives, technical architecture, data/ML models etc and challenge conventional approaches as needed
 
 
 &bull; Identify and recommend thoughtful next steps and strategies. Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
 
 
 &bull; Find creative and innovative solutions to increasingly complex problems. Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
 
 
 &bull; Makes quantitatively-oriented recommendations to solve business problems &amp; demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution
 
 
 &bull; In-charge of discovery and requirements gathering. Apply data science skills to ensure robust and scalable model deployment.
 
 
 &bull; Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
 
 
 &bull; Provide training and support to internal teams to ensure smooth and continued success on project implementations
 
 
 &bull; Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
 
 
 &bull; Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
 
 
 &bull; Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
 
 
 &bull; Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
 
 
 &bull; Monitor industry trends and implement best practices to improve in-house capabilities
 
 
 &bull; Enforces all policies and procedures for programming, project documentation, and system management
 
 
 
 
 
 We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
 
 
 
 
 
 &bull; Bachelor's degree in Business Administration, Computer Science, or related field (Master's degree preferred).
 
 
 &bull; Overall 13+ years of experience and 5+ overall years of experience in leading analytical projects in pharma domain
 
 
 &bull; Experience in pharma omnichannel analytics or in at least 2 among sales force analytics, patient analytics, digital analytics, commercial analytics domains
 
 
 &bull; Experience in Advanced analytics including Statistics, Gen AI, Ensemble, deep learning predictive models and MLOPs
 
 
 &bull; Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements
 
 
 &bull; Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage
 
 
 &bull; Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
 
 
 &bull; Strong analytical and problem-solving abilities, with a keen attention to detail and willing to learn in a fast-paced environment
 
 
 &bull; Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
 
 
 &bull; Willing to work in a highly demanding and result-oriented team environment
 
 
 &bull; Excellent communication skills; able to grasp and communicate complex ideas clearly
 
 
 
 
 
 Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.
 
</div>

Senior Manager - Data & Analytics

Livspace

<div>
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Analyst
 
 to join the digital marketing team and act as the bridge between our marketing, analytics, and business teams. The role involves analyzing digital marketing data, identifying trends, providing actionable insights, and supporting decision-making to optimize campaign performance, lead generation, and overall ROI
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from various digital marketing channels (Google Ads, Meta Ads, SEO, CRM, email campaigns, etc.).
 </li>
 <li>
 Build dashboards and automated reports through Google Sheets, SQL, Python and Quicksight
 </li>
 <li>
 Track KPIs like lead generation, customer acquisition cost (CAC), ROI, conversion rates, and campaign performance.
 </li>
 <li>
 Work closely with the digital marketing team to measure effectiveness of campaigns.
 </li>
 <li>
 Prepare dashboards with insights, trends, and forecasts to support management decisions.
 </li>
 <li>
 Evaluate new tools, technologies, and platforms for digital marketing analytics.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Experience
 
 : 1&ndash;4 years in digital marketing analytics, business analysis, or performance marketing roles.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Skills
 
 :
 </li>
 <li>
 Strong analytical skills with proficiency in Excel/Google Sheets, SQL, Python and visualization tools.
 </li>
 <li>
 Experience with marketing platforms: Google Ads, Meta Ads Manager, Google Analytics (GA4).
 </li>
 <li>
 Understanding of SEO/SEM, paid media, lead generation funnels, and attribution models.
 </li>
 </ul>
 
 
</div>

Data Analyst

Unacademy

<div>
 
 🚀 We&rsquo;re Hiring:
 
 YouTube Manager &ndash; K12 + IIT JEE (EdTech Only)
 
 
 
 📍 Location: Bangalore (On-site) | 🕘 Mon&ndash;Sat
 
 
 📅 Experience: 3&ndash;6 Years | 💰 CTC: Best in Industry
 
 
 
 
 
 
 Unacademy
 
 is looking for an experienced and strategic
 
 YouTube Manager (K12 + IIT JEE)
 
 to lead the growth of our school-focused and competitive exam-focused channels.
 
 
 
 
 
 🎯 Candidates with prior experience handling
 
 K12, CBSE, ICSE, State Boards, or IIT JEE-focused YouTube channels
 
 will be given preference.
 
 
 📌 Only candidates from EdTech or education-focused YouTube backgrounds will be considered.
 
 
 
 
 
 💼
 
 Role Overview
 
 
 
 As a YouTube Manager &ndash; K12 + IIT JEE, you&rsquo;ll be responsible for scaling Unacademy&rsquo;s YouTube presence across
 
 school categories (Classes 6&ndash;12)
 
 as well as
 
 IIT JEE preparation channels
 
 . You&rsquo;ll drive content strategy, engagement, SEO, analytics, and team coordination to maximize student learning and retention.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and execute strategies for
 
 K12 categories (Classes 6&ndash;12, CBSE, ICSE, State Boards)
 
 and
 
 IIT JEE exam prep channels
 
 .
 </li>
 <li>
 Own end-to-end content lifecycle: planning, scheduling, publishing, performance tracking.
 </li>
 <li>
 Optimize videos for SEO &mdash; titles, descriptions, tags, thumbnails, watch time.
 </li>
 <li>
 Analyze audience behavior, retention, CTR, and engagement trends.
 </li>
 <li>
 Collaborate with educators, content, and creative teams.
 </li>
 <li>
 Drive A/B testing for thumbnails and content formats.
 </li>
 <li>
 Stay updated on YouTube algorithm changes and EdTech content trends.
 </li>
 <li>
 Ensure quality, consistency, and student-centric viewer experience.
 </li>
 </ul>
 
 
 
 
 ✅
 
 Preferred Candidate Profile
 
 
 <ul>
 <li>
 Minimum 3&ndash;4 years of YouTube channel management.
 </li>
 <li>
 Mandatory experience in
 
 K12 / school-level education content or IIT JEE exam prep content
 
 .
 </li>
 <li>
 Strong grasp of YouTube Studio, Analytics, SEO, and growth strategies.
 </li>
 <li>
 Proven ability to manage educators and work cross-functionally.
 </li>
 <li>
 Experience in team coordination, content pipeline management, and real-time publishing.
 </li>
 <li>
 Strategic, creative, and data-driven approach.
 </li>
 </ul>
 
 
 
 
 📩
 
 Interested?
 
 
 
 Apply via 👉 https://forms.gle/A71PnXBsTFf3oHf69
 
 
 Tag someone from
 
 K12 + IIT JEE EdTech
 
 who should see this! 👇
 
 
 #YouTubeManager #EdTech #K12 #CBSE #ICSE #IITJEE #YouTubeJobs #ContentStrategy #ChannelManagement #Hiring #Unacademy
 
</div>

Youtube Manager

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Title: Senior Analyst
 
 
 
 
 Job Band: VIII
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 
 
 Purpose Of Role
 
 
 
 
 
 
 As a global leader in the beer industry, we are seeking an experienced and results-oriented individual to join our team as a Digital Marketing Associate.
 
 
 In this key role, you will be responsible for delivering in the Digital Marketing streams like Digital ads and contest management, Digital Ads, Social Listening, Media Reporting, Analytics &amp; Reporting, and SEO Team within the Marketing and Consumer Insights COE function of our organization.
 
 
 
 
 
 
 Key Tasks and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Reporting and Performance Metrics
 
 : Work closely with the NAZ Counterparts/ draftLine/zone brand teams and oversee and creation of regular and ad-hoc reports that highlight key social media KPIs, campaign performance, sentiment analysis, and competitor benchmarking. These reports will contribute to understanding the effectiveness of our social media efforts. Basic design skills to create or modify visuals for social media posts, ads, and other digital content.
 </li>
 <li>
 .
 
 g
 
 .: Monthly Reports, Weekly/ bi-weekly/ Campaign reporting/ Ad-hoc and exploratory reporting/Real-time PBI Dashboard enhancement and refresh.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Data Analysis and Insights
 
 : Understanding of Digital media to conduct in-depth analysis of social media data, extract meaningful insights, and present them to the Zone team and the senior management team. Your expertise will provide valuable guidance in making data-driven decisions by the Brand teams.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Cross-functional Collaboration:
 
 Work closely with various departments across Marketing &amp; Consumer Insights
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Strategic Vision:
 
 Strategic and analytical thinker with the ability to align Digital Marketing streams with overall business objectives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Adaptability
 
 : Strong adaptability to changing social media trends and evolving business needs
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technology and Tool Evaluation
 
 : Stay updated on the latest social media, social listening tools, technologies, and industry best practices. Continuously evaluate and optimize the tools and processes to enhance efficiency and accuracy.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills required:
 
 
 
 
 
 <ul>
 <li>
 
 Technical/Functional:
 
 </li>
 <li>
 Digital Ads: Expertise in setting up and executing Digital Ads along with reporting
 </li>
 <li>
 Social Media Management: Expertise in managing social media platforms, including content planning, scheduling, engagement, and paid advertising. Understanding the nuances of different social media channels is important. Proficiency in using various digital advertising platforms, including Facebook Ads, Instagram Ads, Google Ads, LinkedIn Ads, and more.
 </li>
 <li>
 Data Analysis &amp; Reporting: Strong analytical skills to gather data from various sources (website analytics, social media insights, etc.) and translate it into actionable insights for optimizing campaigns. Ability to create comprehensive and clear reports showcasing the performance of marketing campaigns and strategies to stakeholders.
 </li>
 <li>
 Understanding of Social media tools and platforms &ndash; Brandwatch, Cision, Trendkite, Emplify, Google Studio , Facebook Manager , Twitter Analytics, YT Analytics , Google search console , Semrush , Screaming frog , Salesforce Datorama
 </li>
 <li>
 Digital Marketing and SEO Expertise: Knowledge of digital marketing channels, tools, and best practices. Demonstrated ability to drive results through Digital Marketing and SEO strategies.
 </li>
 <li>
 Identify innovative solutions for the draftLine and zones to provide business-level and action-oriented consumer insights and recommendations
 </li>
 <li>
 Ability to identify and help determine key performance indicators for the stakeholders.
 </li>
 <li>
 Familiarity working with large data sets and creating cohesive stories. Working experience on Power BI is good to have.
 </li>
 <li>
 Strong Stakeholder management
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 Educational Background:
 
 Bachelor's/Master&rsquo;s degree in Marketing, Digital Marketing, Business, or a related field. Additional certifications in digital marketing would be advantageous.
 </li>
 <li>
 
 Proven experience in digital marketing role &ndash;
 
 Digital ads and contest management, social media listening, SEO, Paid Ads, Social Media reporting, and analysis
 </li>
 <li>
 
 2 to 4
 
 years of professional experience in social listening, social media analytics, digital marketing, and consumer insights.
 </li>
 <li>
 
 Stakeholder Management
 
 - Prior experience of working and communicating with onshore stakeholders/clients
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers.
 
 
</div>

Senior Analyst - GBS Commercial

Tredence Inc.

<div>
 
 
 Associate Product Manager
 
 
 
 
 Experience
 
 : 5-8yrs
 
 
 
 Location:
 
 Bengaluru, India (Hybrid)
 
 
 
 Team:
 
 Product (R&amp;D)
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 About Tredence
 
 
 
 Tredence is a global analytics services and solutions company, recognized among the fastest-growing private firms on the Inc. 5000 list for three consecutive years. We deliver value through data visualization, data management, advanced analytics, big data, and machine learning. Our strength lies in building scalable, cost-effective cloud (GCP, Azure, AWS) and on-premise solutions, supported by a strong portfolio of IP and accelerators.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an
 
 Associate Product Manager
 
 to join our Generative AI R&amp;D Studio team. You will lead the design and execution of AI-driven accelerators and products, working closely with cross-functional teams to drive adoption, innovation, and measurable client impact.
 
 
 
 
 
 
 What are Accelerators?
 
 
 
 Accelerators are reusable mini-products that reduce delivery timelines by
 
 30&ndash;70%
 
 while improving client outcomes. At Studio R&amp;D, we build and scale these accelerators across industries like Retail, CPG, BFSI, Healthcare, and more &mdash; enabling faster value realization at enterprise scale.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Drive end-to-end product lifecycle, from discovery to scale.
 </li>
 <li>
 Translate business requirements into PRDs, user stories, and acceptance criteria.
 </li>
 <li>
 Steer cross-functional teams (engineering, data science, QA, design) to deliver high-quality features.
 </li>
 <li>
 Facilitate Agile ceremonies and ensure execution success.
 </li>
 <li>
 Lead product adoption across Tredence&rsquo;s business practices.
 </li>
 <li>
 Own prompt engineering and evaluation initiatives for assigned products/accelerators.
 </li>
 <li>
 Research emerging GenAI technologies and run POCs to drive innovation.
 </li>
 <li>
 Collect user and client feedback to define feature enhancements and iterative improvements.
 </li>
 <li>
 Support sales, marketing, and customer success with demos, release notes, and enablement content.
 </li>
 <li>
 Assist delivery teams during client implementations with product guidance.
 </li>
 <li>
 Define and track success metrics, analyze performance, and synthesize learnings.
 </li>
 <li>
 Communicate roadmap progress and product updates to stakeholders and leadership.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Experience &amp; Mindset
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in AI/ML solutions, including
 
 3+ years in product management
 
 .
 </li>
 <li>
 Strong ownership, problem-solving ability, and comfort with ambiguity.
 </li>
 <li>
 Proven record of delivering impact in fast-paced environments.
 </li>
 <li>
 Hunger to learn, experiment, and innovate.
 </li>
 </ul>
 
 
 Product Skills
 
 
 <ul>
 <li>
 Hands-on experience with product lifecycle (discovery &rarr; GA &rarr; scale) in Agile settings.
 </li>
 <li>
 Ability to articulate technical concepts into clear business value.
 </li>
 <li>
 Excellent communication, documentation, and stakeholder management.
 </li>
 </ul>
 
 
 Technical Fluency
 
 
 <ul>
 <li>
 Working knowledge of AI, data, cloud, ML, and data science.
 </li>
 <li>
 Familiarity with
 
 LLMs, prompt engineering, RAG, Text-to-SQL, agentic frameworks, and data infrastructure
 
 .
 </li>
 <li>
 Experience with analytics/experimentation tools (SQL, Amplitude, Mixpanel, A/B testing).
 </li>
 </ul>
 
 
 Nice-to-Haves
 
 
 <ul>
 <li>
 Background in Business Analyst, Sales, Data Science, or Development roles.
 </li>
 <li>
 Experience with Conversational AI or automation platforms.
 </li>
 <li>
 Certifications in Agile/Scrum or cloud/AI platforms.
 </li>
 </ul>
 
 
 
 
 
 Why Join Product at Tredence?
 
 
 <ul>
 <li>
 Collaborate across
 
 six practices
 
 (Supply Chain, CXM, Data Engineering, Data Science, Digital Engineering, GenAI) and
 
 multiple verticals
 
 (Retail, CPG, BFSI, Healthcare, TMT, Travel &amp; Hospitality).
 </li>
 <li>
 Work with cutting-edge platforms:
 
 GCP, Azure, AWS, Databricks, Snowflake
 
 .
 </li>
 <li>
 Launch
 
 3&ndash;4 accelerators annually
 
 with direct exposure across industries.
 </li>
 <li>
 Explore innovations beyond web &mdash; including Generative AI, VR, humanoids, and mobile platforms.
 </li>
 <li>
 Participate in leading industry events such as
 
 Cypher
 
 and
 
 DES
 
 .
 </li>
 </ul>
 
 
</div>

Associate Product Manager

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Job Title: Data Scientist &ndash; Predictive Forecasting
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 We are seeking a talented
 
 Data Scientist
 
 specializing in
 
 Statistical modelling, Predictive modelling, Time Series Forecasting
 
 to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 
 Develop and Implement Models:
 
 </li>
 <li>
 Design and implement and Maintain time series forecasting models to predict key business metrics.
 </li>
 <li>
 Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
 </li>
 <li>
 
 Data Analysis and Insight Generation:
 
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Generate actionable insights that inform business strategies and operational improvements.
 </li>
 <li>
 
 Collaborate with Cross-Functional Teams:
 
 </li>
 <li>
 Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
 </li>
 <li>
 
 Communicate Findings:
 
 </li>
 <li>
 Present analysis results and insights to stakeholders in a clear and concise manner.
 </li>
 <li>
 Prepare reports, visualizations, and dashboards to communicate data findings.
 </li>
 <li>
 
 Continuous Improvement:
 
 </li>
 <li>
 Monitor model performance and implement enhancements as necessary.
 </li>
 <li>
 Stay updated with the latest developments in data science, machine learning, and time series forecasting.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in data science or a related role.
 </li>
 <li>
 Proven experience with time series analysis and forecasting techniques is a plus
 </li>
 </ul>
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
 </li>
 <li>
 MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
 </li>
 <li>
 Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
 </li>
 <li>
 Insights presentation - PowerPoint
 </li>
 <li>
 Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation abilities.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
 
 
</div>

Data Scientist

Explore 198+ Analytics manager in Mangaluru this October. Find roles across top companies and apply now to boost your career.