data scientist

data analyst

business analyst

senior data scientist

operations analyst

data analytics specialist

Amazon

<div>
 
 Description
 
 
 
 Job summary
 
 
 Amazon Worldwide Operations is the underlying fulfillment and customer service engine that ensures Amazon creates the same consistent, world-class customer experience every time. We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join our India Operations team.
 
 
 In our effort to support this rapid growth around the world, we are looking for a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.
 
 
 In this role, you will be responsible for data mining and data reporting activities pertaining to ops processes and speed. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up &amp; refining metrics framework to measure business operation and translating data into meaningful insights.
 
 
 With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.
 
 
 Key job responsibilities
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Driving critical metrics to monitor and optimize the business
 </li>
 <li>
 Generating actionable Insights through Analysis of Key metrics across functions
 </li>
 <li>
 Identify the root cause through deep analysis of data to reach a point where actionable solutions can be designed.
 </li>
 <li>
 Track, measure and report various initiatives to improve defects leading to reimbursements and improve selling partner experience
 </li>
 <li>
 Define, track Key metrics that need to be monitored to improve defects leading to reimbursements and improve selling partner experience
 </li>
 <li>
 Devise mechanisms for control, performance monitoring, and reporting to internal stakeholders.
 
 
 </li>
 </ul>
 Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives,
 
 
 <ul>
 <li>
 Working cross-functionally with business teams to ensure development and implementation of programs as per timelines.
 </li>
 <li>
 Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
 </li>
 <li>
 Developing basic scripts to process data to support business analysis, benchmarking, and optimization efforts
 
 
 </li>
 </ul>
 A day in the life
 
 
 Day in the life
 
 
 This role provides opportunities to influence high impact / high visibility projects within the organization. To perform your daily tasks, one requires high attention to details, proven ability to manage multiple and competing priorities simultaneously.
 
 
 
 About The Team
 
 
 
 About the team
 
 
 EFES Analytics is responsible for providing analytics support to External Fulfillment / Easy Ship channel operations teams. The scope of this team includes managing weekly/monthly review decks, formulating new metrics, provide visibility to operations on the daily performance through automated reports and dashboards, building optimization tools, building features in existing solutions and achieving parity with other geographies in terms of supply chain tools and features. This is done through our strong team of BIEs/BAs/Product managers and by liaising with local and global technology teams to get things done through influence and/or with their support. Our roadmap includes long term projects that have quarterly deadlines and sprint projects that are executed in biweekly sprints.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data analytics or automation experience
 </li>
 <li>
 1+ years of capacity planning, operations planning, business analysis or similar experience
 </li>
 <li>
 Bachelor's degree
 </li>
 <li>
 Knowledge of data pipelining and extraction using SQL
 </li>
 <li>
 Knowledge of SQL and Excel at a moderate or advanced level
 </li>
 <li>
 Experience with data mining tools like SQL, SAS, SPSS, or similar
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of business analysis (dealing with large complex data) experience
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ASSPL - Karnataka
 
 
 Job ID: A3088358
</div>

Data Analyst, Vendor Flex

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 6+ years of experience in data science, machine learning, or applied statistics. Experience in financial services, fintech, e-commerce, or similar data-driven industries.
 </li>
 <li>
 Strong expertise in Python, SQL with proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of big data technologies (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in model deployment using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in statistical modeling, predictive analytics.
 </li>
 <li>
 Experience working with real-time and batch-processing systems.
 </li>
 <li>
 Demonstrated ability to translate business problems into data science solutions.
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in financial services, fintech, e-commerce, or similar data-driven industries.
 
 
 </li>
 </ul>
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Data Scientist (6 to 8 Years)

Gallagher

<div>
 
 Introduction
 
 
 
 We believe that every candidate brings something special to the table, including you! So, even if you feel that you&rsquo;re close but not an exact match, we encourage you to apply. We&rsquo;d be thrilled to receive applications from exceptional individuals like yourself.
 
 
 Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers.
 
 
 
 Overview
 
 
 
 We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products&rsquo; and services&rsquo; efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
 </li>
 <li>
 Artificial Intelligence &amp; Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data.
 </li>
 <li>
 Strong knowledge of Python &amp; R, MS Azure ML Studio, AWS, or Google Cloud.
 </li>
 <li>
 Knowledge of data science toolkits such as R, NumPy, and MatLab.
 </li>
 <li>
 Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
 </li>
 <li>
 Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL.
 </li>
 <li>
 Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
 </li>
 <li>
 Analytical thinking. Find analytical solutions to abstract business issues.
 </li>
 <li>
 Business intuition: Connect with stakeholders to gain a full understanding of the problems they&rsquo;re looking to solve.
 </li>
 <li>
 Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
 </li>
 <li>
 Critical thinking: Apply objective analysis of facts before coming to a conclusion.
 </li>
 <li>
 Inquisitiveness: Look beyond what&rsquo;s on the surface to discover patterns and solutions within the data.
 </li>
 <li>
 Perform data mining, exploration, and analysis.
 </li>
 <li>
 Ability to store and process unstructured data with NoSQL databases and machine learning models
 </li>
 <li>
 Design, train, and implement machine learning algorithms.
 </li>
 <li>
 Strong attention to detail and accuracy of output.
 </li>
 <li>
 Advanced knowledge of SQL and Excel.
 </li>
 <li>
 Strong Data Visualization skills preferably MS PowerBI.
 </li>
 <li>
 Keeping up to date with the latest tools and trends.
 </li>
 <li>
 Excellent verbal and written Communication skills
 </li>
 <li>
 Leverage predictive models to optimize customer experiences.
 </li>
 <li>
 Creating automated anomaly detection.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Technical Bachelor&rsquo;s Degree. Preferably in statistics, computer science, mathematics, or engineering.
 </li>
 <li>
 3+ year of relevant experience.
 </li>
 <li>
 Strong domain knowledge.
 </li>
 <li>
 Should be ready work in shifts.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We value inclusion and diversity
 
 
 
 Inclusion and diversity (I&amp;D) is a core part of our business, and it&rsquo;s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
 
 
 Gallagher embraces our employees&rsquo; diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
 
 
 Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as &ldquo;protected characteristics&rdquo;) by applicable federal, state, or local laws.
 
 
 Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.
</div>

Data Scientist

Deloitte

<div>
 
 
 Data Analyst
 
 
 
 
 
 
 Location:
 
 Bangalore / Pune
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for an experienced Data Analyst with strong technical expertise and a solution-oriented mindset. The ideal candidate will leverage advanced skills in Python, PySpark, and SQL to manage and transform data, uncover insights, and support complex business use cases. Experience in the banking sector and knowledge of data governance principles will be a strong advantage.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze and transform large datasets using PySpark and SQL to solve complex business problems.
 </li>
 <li>
 Identify data anomalies and perform thorough data validation to ensure accuracy and quality.
 </li>
 <li>
 Collaborate effectively with stakeholders, managing expectations and delivering data-driven solutions.
 </li>
 <li>
 Take ownership of the end-to-end data development and deployment process.
 </li>
 <li>
 Uphold data governance, quality, privacy, and control standards throughout the data lifecycle.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills &amp; Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of professional experience in Python programming.
 </li>
 <li>
 5-7 years of hands-on experience with PySpark for data management and transformation.
 </li>
 <li>
 3-5 years of experience with SQL, including advanced query writing and optimization.
 </li>
 <li>
 Familiarity with version control tools such as Git.
 </li>
 <li>
 Strong understanding of data governance, data quality, controls, and privacy practices.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience in the banking or financial services domain.
 </li>
 <li>
 Knowledge of data pipeline building and workflow orchestration (e.g., Prophecy).
 </li>
 <li>
 Ability to model data and design scalable data architectures.
 </li>
 <li>
 Proven stakeholder management and communication skills.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re passionate about data, enjoy tackling complex challenges, and want to make an impact in a dynamic environment, we&rsquo;d love to hear from you!
 
</div>

Data Analyst

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 We are seeking a highly skilled and dynamic People Analytics &amp; HR Reporting Specialist to join our team at a senior level. The ideal candidate will have advanced analytical and technical expertise in building dashboards and reports,
 
 
 leveraging various data sources such as EDP, data lakes, and APIs for systems like Workday. This role requires strong experience in Power BI, proficiency in Python for building predictive models, and a solid understanding of HR analytics to deliver actionable insights. Additionally, the candidate must excel in project management and stakeholder management.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Design and develop advanced dashboards and visualizations using Power BI and other analytics tools. Integrate data from various sources (EDP, data lakes, APIs, Workday) for seamless reporting.
 </li>
 <li>
 Use Python to create predictive models for employee insights and workforce planning.
 </li>
 <li>
 Collaborate with stakeholders to gather requirements and deliver impactful analytics solutions.
 </li>
 <li>
 Manage projects effectively, ensuring timely delivery of analytics initiatives.
 </li>
 <li>
 Communicate insights and recommendations clearly to both technical and non-technical audiences.
 </li>
 <li>
 Demonstrate strong stakeholder management skills to build and maintain effective relationships.
 </li>
 <li>
 Support day-to-day standard and ad-hoc Workday reports for stakeholders globally.
 </li>
 <li>
 Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree.
 </li>
 <li>
 Minimum 2+ years&rsquo; experience in Power BI, EDP, and data lake integrations.
 </li>
 <li>
 Proficiency in Python for advanced analytics and predictive modeling.
 </li>
 <li>
 Strong stakeholder management and presentation skills.
 </li>
 <li>
 Prior experience in core analytics is a must; HR analytics is an advantage.
 </li>
 <li>
 Excellent project management skills.
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

HR Reporting & PA Specialist – HR Operations

Curefit

<div>
 
 Curefit Healthcare Pvt Ltd, founded in 2016, is India&rsquo;s largest fitness company and wellness platform. Cult, from the house of Curefit, was established with a mission to make fitness easy, fun and accessible to everyone, and has emerged as a community celebrating the joy of fitness. The brand today offers a range of fitness services ranging from group workouts, gyms and personalized fitness solutions, as well as an expansive selection of quality fitness products for the everyday athlete.
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are the Real Estate &amp; Workplace (REW) team, serving as a key pillar of Cult&rsquo;s expansion. We drive end-to-end ownership from lead to launch, while managing real estate operations, projects, and workspace design. This role offers a great opportunity to work closely with senior stakeholders, gain hands-on exposure to real estate data management, project coordination, and dashboard/report creation. We are looking for an energetic, self-motivated individual who is eager to learn, take ownership, and grow a strong career in real estate and workplace operations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Manage and maintain end-to-end REW team data, ensuring accuracy and consistency across all products.
 </li>
 <li>
 Create, update, and manage dashboards, trackers, and reporting sheets to provide actionable insights for stakeholders.
 </li>
 <li>
 Ensure timely and error-free data updates, enabling data-driven decision-making.
 </li>
 <li>
 Take full ownership of deliverables, managing multiple priorities and deadlines effectively.
 </li>
 <li>
 Collaborate with senior stakeholders, providing data-backed insights, status updates, and recommendations for ongoing and upcoming projects.
 </li>
 <li>
 Automate recurring reports and dashboards where possible to save time and reduce manual dependency.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 0-2 years of experience required
 </li>
 <li>
 Bachelor&rsquo;s degree in Science (Math/Stat) / Business or related field (MBA - preferred but not mandatory)
 </li>
 <li>
 Strong skills in Google Sheets, Power BI, SQL. (Power BI/Tableau preferred)
 </li>
 <li>
 Excellent organizational and multitasking abilities with keen attention to detail.
 </li>
 <li>
 Self-motivated, proactive, and able to work with minimal supervision.
 </li>
 <li>
 Strong communication skills and ability to collaborate with diverse stakeholders.
 </li>
 <li>
 Willingness to learn and adapt in a fast-paced environment.
 </li>
 </ul>
</div>

MIS/ Data Analyst - Contract Role

<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 410+ Data analytics specialist in Mangaluru this September. Find roles across top companies and apply now to boost your career.