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business analytics analyst Jobs in Mangaluru

business analytics analyst

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associate - data engineer-data management and analytics-database warehousing

data analytics specialist

Levi Strauss & Co.

<div>
 
 We&rsquo;re looking for a curious, analytical, and collaborative
 
 Data Analyst
 
 to join our
 
 Global Merchandise Planning Insights
 
 team. This role supports the planning function by transforming data into actionable insights that drive product, pricing, and inventory decisions across our global business. You&rsquo;ll work closely with your manager and cross-functional partners in Planning, Merchandising, Finance, and Cluster teams to uncover trends, monitor performance, and support strategic initiatives that fuel growth.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze product performance, customer behavior, and commercial KPIs across global markets.
 </li>
 <li>
 Support weekly, monthly, and seasonal reporting cycles, including hindsight recaps and business reviews.
 </li>
 <li>
 Build and maintain dashboards and visualizations to track product success and business health.
 </li>
 <li>
 Translate complex datasets into clear, actionable insights for planning and merchandising teams.
 </li>
 <li>
 Collaborate with cluster teams to identify global themes and local nuances in product performance.
 </li>
 <li>
 Ensure data quality and consistency across reporting tools and sources.
 </li>
 <li>
 Contribute to the development of data governance practices, including metric definitions and documentation.
 </li>
 <li>
 Participate in cross-functional projects to improve reporting capabilities and business outcomes.
 </li>
 <li>
 Support brand and tier level rollups and forecasts
 </li>
 <li>
 Read and react to sales trends via chase and fabric positioning
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, Statistics, or a related field.
 </li>
 <li>
 Minimum 2 years of experience in data analytics, business intelligence, or planning.
 </li>
 <li>
 Strong analytical skills with the ability to interpret data and tell compelling stories.
 </li>
 <li>
 Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
 </li>
 <li>
 Familiarity with key retail metrics such as sell-through, AOV, UPT, and return rates.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 A growth mindset and a passion for continuous learning and improvement.
 </li>
 </ul>
</div>

Data Analyst

Pixis

<div>
 
 
 About us:
 
 
 
 
 
 
 Pixis is a global AI technology company transforming how brands plan, create, and optimize marketing. Our flagship marketing operating system, Prism, sits at the core of the Pixis platform, using AI to turn fragmented performance data into clear, actionable insights and directly into execution.
 
 
 
 
 
 With native integrations across major ad platforms, built-in creative intelligence, and a secure, enterprise-ready infrastructure, Pixis helps marketing, creative, and strategy teams move from idea to action in minutes instead of weeks. The company&rsquo;s mission is to eliminate manual workflows and replace them with intelligent, role-aware systems that scale strategy, creative, and performance without increasing team size.
 
 
 
 
 
 Today, Pixis has a
 
 talented and diverse team of 300+ people across 14+ geographies
 
 , all focused on building transformative AI products to help customers maximize their marketing and demand generation efforts.
 
 
 
 
 
 👉 Learn more:
 
 pixis.ai
 
 
 
 
 
 
 
 Why Pixis?
 
 
 
 We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Pipeline Development: Build, maintain, and optimize data pipelines that effectively clean, transform, and aggregate raw data from disparate sources (ETL processes).
 </li>
 <li>
 Reporting and Automation: Design and automate recurring and ad-hoc reports within spreadsheet platforms (Google Sheets and Excel).
 </li>
 <li>
 Scripting for Efficiency: Write and manage scripts, specifically utilizing Google App Script or similar tools, to automate data tasks and streamline reporting workflows.
 </li>
 <li>
 Business Problem Solving: Use data infrastructure and analytical techniques to solve complex business problems, answer critical questions, and drive process improvements.
 </li>
 <li>
 Documentation and Governance: Develop and maintain Standard Operating Procedures (SOPs) and comprehensive documentation for all reporting and data engineering processes.
 </li>
 <li>
 Ad-Hoc Support: Be willing to tackle complicated Ad-hoc reporting tasks as needed by the business.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Qualifications &amp; Skills
 
 
 <ul>
 <li>
 
 2-4+ years in data analytics / BI / business intelligence / data engineering roles
 
 </li>
 <li>
 Hands-on experience with BI / visualization tools (Looker, Tableau, Power BI, Mode, etc.)
 </li>
 <li>
 Proven knowledge and experience with SQL and DBMS to efficiently query and handle large datasets.
 </li>
 <li>
 Proficiency with spreadsheet tools including Google Sheets and Excel, as well as scripting for automation (Google App Script is highly desirable)
 </li>
 <li>
 Experience in building or maintaining ETL processes.
 </li>
 <li>
 Experience building dashboards from scratch, with large and messy data sources
 </li>
 <li>
 Good sense for business metrics, metrics design, causation vs correlation
 </li>
 <li>
 Strong communication skills: explaining insights to non-technical stakeholders
 </li>
 <li>
 Comfort working across functions (finance, operations, product, marketing)
 </li>
 </ul>
 
 
 
 
 
 Preferred / Plus
 
 
 <ul>
 <li>
 Experience in product / SaaS / tech
 </li>
 <li>
 Experience with Python / R / data modeling / advanced analytics
 </li>
 <li>
 Experience with Marketing Mix Modelling
 </li>
 <li>
 Familiarity with the
 
 AWS ecosystem
 
 is a plus for data engineering-related tasks.
 </li>
 </ul>
 
 
</div>

Business Analyst

SkilloVilla

<div>
 
 
 Why Join Us?
 
 
 
 
 
 
 We&rsquo;re looking for highly skilled, passionate, and motivated individuals who are excited
 
 
 about shaping the next generation of data professionals. Here&rsquo;s why you should
 
 
 consider joining our team:
 
 
 1.
 
 Empower Future Talent
 
 &ndash; Play a key role in transforming lives by teaching real world data skills.
 
 
 2.
 
 Growth &amp; Recognition
 
 &ndash; Fast-track your career in a rapidly growing ed-tech
 
 
 startup with leadership opportunities.
 
 
 3.
 
 Innovative Work Culture
 
 &ndash; Thrive in a dynamic, collaborative, and flexible work
 
 
 environment that values creativity and ownership.
 
 
 4.
 
 Be a Part-Owner of the Company
 
 &ndash; ESOPs offered on performance based as a
 
 
 loyalty benefit.
 
 
 5.
 
 Make Real Impact
 
 &ndash; Your contribution directly affects learners&rsquo; career success.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 
 As a Data Analytics Instructor at SkilloVilla, you will be instrumental in delivering
 
 
 cutting-edge, industry-relevant training to aspiring data professionals. Your core
 
 
 responsibilities will include:
 
 
 1.
 
 Training Delivery
 
 &ndash; Deliver structured, interactive, and engaging training
 
 
 sessions tailored to varying learner levels &ndash; from beginners to advanced.
 
 
 2.
 
 Content Development
 
 &ndash; Develop content through research to create up-todate, comprehensive, and practical training materials and resources.
 
 
 3.
 
 Project-Based Learning
 
 &ndash; Guide students through real-world data analytics
 
 
 projects covering topics such as data analysis, machine learning, statistical
 
 
 modeling, and data visualization.
 
 
 4.
 
 Mentorship &amp; Support
 
 &ndash; Provide personalized guidance, resolve student
 
 
 queries, and support learners through challenges in their educational and career
 
 
 journey.
 
 
 5.
 
 Interactive Learning
 
 &ndash; Create a collaborative, problem-solving learning
 
 
 environment that encourages active participation and critical thinking.
 
 
 6.
 
 Assessment &amp; Feedback
 
 &ndash; Evaluate student progress through quizzes,
 
 
 assignments, and hands-on projects while offering constructive feedback.
 
 
 7.
 
 Placement Support
 
 &ndash; Offer interview preparation, resume reviews, and career
 
 
 guidance to help learners secure job placements.
 
 
 8.
 
 Training Content Management
 
 &ndash; Manage training assets including session
 
 
 presentations, assignments, quizzes, and other learning materials.
 
 
 
 
 
 
 What You&rsquo;ll Need
 
 
 
 
 
 
 We&rsquo;re looking for someone who combines strong technical expertise with a passion for
 
 
 teaching and mentoring. The ideal candidate should possess:
 
 
 1.
 
 Training Expertise
 
 &ndash; Proven experience delivering training in Tableau, Excel, SQL,
 
 
 Python, Statistics, and Power BI.
 
 
 2.
 
 Technical Proficiency
 
 &ndash; Strong knowledge of data tools and libraries like
 
 
 Pandas, NumPy, Scikit-learn, and TensorFlow. Familiarity with Machine Learning,
 
 
 Big Data, and BI tools.
 
 
 3.
 
 Analytical Thinking
 
 &ndash; Ability to interpret large datasets, identify insights, and
 
 
 perform data-driven decision-making. Skilled in statistical analysis and model
 
 
 building.
 
 
 4.
 
 Teaching &amp; Mentorship Skills
 
 &ndash; Passion for education with the ability to explain
 
 
 complex concepts in a simple and engaging manner.
 
 
 5.
 
 Communication Skills
 
 &ndash; Ability to deliver training in English, with excellent
 
 
 verbal and written communication skills to convey complex ideas clearly to
 
 
 diverse learners.
 
 
 6.
 
 Up-to-Date Knowledge
 
 &ndash; Awareness of current trends, tools, and best practices
 
 
 in the field of data analytics.
 
 
 7.
 
 Engaging Delivery Style
 
 &ndash; Ability to make learning enjoyable and effective
 
 
 through interactivity and real-world examples.
 
 
 
 
 
 
 Compensation
 
 
 
 &bull;
 
 Position Type
 
 : Full-Time
 
 
 &bull;
 
 Salary
 
 : As per industry standards and experience
 
 
 &bull;
 
 ESOPs
 
 : Offered on performance based as part of loyalty benefits
 
 
 
 
 
 
 Perks &amp; Benefits
 
 
 
 1.
 
 Impact-Driven Role
 
 &ndash; Help students launch high-paying careers in data
 
 
 analytics.
 
 
 2.
 
 Work with Leadership
 
 &ndash; Collaborate directly with industry leaders and the
 
 
 founding team.
 
 
 3.
 
 Career Growth
 
 &ndash; Opportunity to grow into leadership or curriculum design roles.
 
 
 4.
 
 Learning Environment
 
 &ndash; Continuous learning through internal training and
 
 
 knowledge-sharing sessions.
 
 
 
 
 
 
 About SkilloVilla
 
 
 
 
 
 
 SkilloVilla is on a mission to bridge the gap between education and employment by
 
 
 empowering graduates with industry-relevant skills. We focus on real-world job
 
 
 requirements, enabling learners to secure high-paying jobs and fast-track their careers.
 
 
 Our platform includes upskilling programs, resume support, mock interviews, and
 
 
 placement opportunities with top-tier companies.
 
 
 
 
 
 
 Our Founding Team
 
 
 
 
 &bull; Ronak Agrawal (CEO): IIT Delhi, Ex-Business Head, Cuemath
 
 
 
 
 &bull; Rajat Agrawal (CTO): IIIT Hyderabad, Ex-Tech Lead, Swiggy
 
 
 
 
 &bull; Deepak Kharol (COO): IIT Delhi, Ex-Sr. Growth Manager, Swiggy
 
 
 
 
 
 
 
 Our Culture
 
 
 
 1.
 
 Innovators at Heart
 
 &ndash; We constantly explore new ways to solve real problems.
 
 
 2.
 
 Fast Executioners
 
 &ndash; We move quickly and efficiently in everything we do.
 
 
 3.
 
 Ownership Mindset
 
 &ndash; Every individual owns their outcomes and drives impact.
 
 
 4.
 
 Customer-Centric Approach
 
 &ndash; Learners are at the core of every decision we
 
 
 make.
 
 
 5.
 
 Open &amp; Fun Work Environment
 
 &ndash; We value transparency, collaboration, and a
 
 
 youthful vibe.
 
 
 
 
 
 Ready to inspire future data professionals and make a lasting impact? Join
 
 
 SkilloVilla and be a part of the change!
 
 
 
 
</div>

Data Analytics Instructor

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
 
 
 Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
 
 
 
 About The Team -
 
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 We inform product strategy, influence the product roadmap, and guide product decisions by
 </li>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
 <li>
 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
 <li>
 Designing and analyzing experiments to test new product ideas.
 </li>
 <li>
 Developing models and data-driven solutions that add material lift to principal performance metrics.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and non-technical audiences
 </li>
 <li>
 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Data Scientist

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Summary
 
 
 
 As an AI/ML Data Scientist specializing in Generative AI, You will design, develop &amp; deploy advanced machine learning models &amp; natural language processing solutions focused on cutting-edge generative technologies. You will be responsible for building scalable AI systems that analyze &amp; generate human-like text, collaborating with cross-functional teams to deliver impactful enterprise AI products. Your expertise in Python, state-of-the-art deep learning frameworks &amp; recent generative AI training will enable you to innovate in the development of AI solutions that solve complex business problems &amp; push the boundaries of AI research by implementing them in real world use cases driving innovation across industries/domains.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build NLP and AI/ML solutions extracting insights from user comments, chat transcripts, and unstructured text using latest NLP and generative AI techniques.
 </li>
 <li>
 Design and develop solutions using state-of-the-art deep learning and language models.
 </li>
 <li>
 Identify and prepare annotated datasets for supervised learning.
 </li>
 <li>
 Train, fine-tune, and evaluate generative AI and NLP models.
 </li>
 <li>
 Analyze model performance statistically and iteratively improve models.
 </li>
 <li>
 Implement logical algorithms, write clean, reproducible code, and support AI research efforts.
 </li>
 <li>
 Collaborate across teams to deploy large-scale AI platforms and applications.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2-4 years of experience in AI/ML or NLP projects with solid proficiency in Python.
 </li>
 <li>
 Recent training or certification in Generative AI.
 </li>
 <li>
 Hands-on experience with NLP libraries and deep learning frameworks (e.g., Huggingface Transformers, RAGs, TensorFlow, PyTorch).
 </li>
 <li>
 Familiarity with SQL and text representation techniques.
 </li>
 <li>
 Experience in building and deploying AI solutions is preferred.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Cloud AI deployments &amp; integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock
 </li>
 <li>
 Experience with data visualization tools like Tableau or Qlik.
 </li>
 <li>
 Exposure to agentic AI platforms or large reasoning models.
 </li>
 <li>
 Understanding of LLMs, Gen Ai frameworks &amp; tools.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 B.E/B.Tech/M.Tech in Computer Science or related technical field, or equivalent experience.
 
 
 
 Location
 
 :
 
 
 All Fractal Locations - Bengaluru, Mumbai, Gurugram, Pune, Noida, Chennai, Coimbatore, Hyderabad
 
 
 *Joining Preference: We are looking for candidates who join us by 15th Nov 2025, so we prefer candidates who can join immediately or within 30 days.*
 
 
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist - AI/ML Generative AI Specialist

Juego Studios

<div>
 
 
 Job Description: Data Research Specialist &ndash; B2B Leads
 
 
 
 
 Location:
 
 
 
 Bangalore, India
 
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled Data Research Specialist who can leverage advanced AI, data science, and automation to identify, enrich, and deliver high-quality B2B leads. This role is integral to enhancing our sales pipeline by providing actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 - Lead Identification &amp; Enrichment: Research and build high-quality B2B lead databases using AI/ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data (e.g., firmographics, technographics, buying signals) from multiple data sources like LinkedIn, Crunchbase, ZoomInfo, and industry directories.
 </li>
 <li>
 - Data Analysis &amp; Predictive Modeling: Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
 </li>
 <li>
 - Automation &amp; Tool Development: Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools (e.g., LangChain, OpenAI APIs) for intelligent data extraction and enrichment.
 </li>
 <li>
 - Collaboration &amp; Reporting: Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports (Power BI, Tableau, or similar) to track lead quality, conversion trends, and market opportunities. Support A/B testing of targeting strategies and provide data-driven recommendations.
 </li>
 <li>
 - Compliance &amp; Data Integrity: Ensure adherence to data privacy regulations (GDPR, Indian DPDP Act) and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems like Salesforce or HubSpot.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 - Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 - 3&ndash;5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
 </li>
 <li>
 - Proven expertise in Python/R for data scraping, cleaning, and analysis.
 </li>
 <li>
 - Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
 </li>
 <li>
 - Proficiency with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).
 </li>
 <li>
 - Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.
 </li>
 <li>
 - Familiarity with Gen-AI/LLM tools (e.g., ChatGPT API, Hugging Face models) for data enrichment and summarization.
 </li>
 </ul>
 
 
 Preferred Skills (Nice-to-Have):
 
 
 <ul>
 <li>
 - Experience with vector databases or embedding-based search for advanced prospect matching.
 </li>
 <li>
 - Familiarity with marketing automation platforms (Marketo, Pardot).
 </li>
 <li>
 - Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.
 </li>
 <li>
 - Knowledge of industry-specific B2B sales cycles (SaaS, gaming, IT services).
 </li>
 </ul>
 
 
</div>

Data Research Analyst

<div>
 
 
 
 About ONE Championship
 
 
 
 
 ONE Championship is Asia&rsquo;s largest global sports media property, and the world&rsquo;s largest martial arts organization, hosting bouts across all styles of martial arts such as Muay Thai, Kickboxing, MMA, Grappling, etc. In addition to its digital platforms, ONE Championship broadcasts to over 2.6 billion potential viewers across 190 countries around the world with some of the largest global broadcasters, including Amazon Prime Video Sports, Globo&rsquo;s Combate, Channel 7 HD, beIN Sports, Abema, Disney+ Hotstar, and more.
 
 
 
 
 
 
 
 Overview
 
 
 
 
 As part of the Content Marketing team at ONE Championship, the SEO Specialist will be responsible for leading the company&rsquo;s SEO strategy by researching trends and analyzing data to increase search traffic and brand awareness across all digital platforms.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Owns the vision, strategy, and roadmap for SEO &amp; content globally and ensures strategic direction is aligned to the Company&rsquo;s organizational and business goals
 </li>
 <li>
 Spearhead the execution of all activities of the SEO department and be accountable for performance of optimized content
 </li>
 <li>
 Be an in-house SEO expert, monitoring trends on best practices and any changes in the search space, ensuring high search rankings and promoting organic views
 </li>
 <li>
 Establish clear performance indicators and deliver leadership updates
 </li>
 <li>
 Identify and evaluate acquisitions to improve the global SEO footprint
 </li>
 <li>
 Guide the content team to ensure site content is engaging and shareable; recommend content approaches to gain natural attribution from authority sites
 </li>
 <li>
 Work closely with the Analytics &amp; Insights team and proactively provide analytics and key findings to tailor strategies
 </li>
 <li>
 Collaborate on the strategy and approach for PR and social
 </li>
 <li>
 Work with Product &amp; Marketing to improve the conversion rate for organic traffic
 </li>
 <li>
 Adopt a hands-on approach in building up the SEO team from scratch; attract, recruit, and provide leadership and guidance to the department
 </li>
 </ul>
 
 
 
 
 
 Experience/Skills Required:
 
 
 <ul>
 <li>
 3+ years of experience successfully developing and executing SEO strategy
 </li>
 <li>
 Strong understanding of search engine algorithms and ranking methods
 </li>
 <li>
 Experience with SEO tools like Google Analytics and MS Suite
 </li>
 <li>
 Outstanding written and verbal communication skills
 </li>
 <li>
 Fanatical attention to detail and accuracy in reporting
 </li>
 <li>
 Strong organizational skills to manage workflow and meet deadlines
 </li>
 <li>
 Knowledge of combat sports or sports media industry is preferred
 </li>
 </ul>
</div>

Search Engine Optimization Specialist

Explore 570+ Data analytics specialist in Mangaluru this November. Find roles across top companies and apply now to boost your career.