business analyst

data engineer

2823 - sr. business data analyst Jobs in Pune

2823 - sr. business data analyst

analyst

analyst -

data analytics specialist

VOIS

<div>
 
 
 BUSINESS ANALYST &ndash; DATA &amp; ANALYTICS - VOIS
 
 
 
 
 
 
 
 Who we are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 
 
 
 About this Role
 
 
 
 We are seeking a Business Analyst with strong expertise in data analytics to join our Data &amp; Analytics function within the DAIS department. This individual will act as a critical link between business stakeholders and technical teams, ensuring that data-driven solutions are aligned with strategic goals. The role demands proficiency in requirement elicitation, data profiling, gap analysis, and documentation, with a solid understanding of telecom environments and BI/DWH systems. Experience in Agile methodologies, particularly SAFe, is highly desirable.
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Serve as the primary point of accountability to stakeholders for assigned deliveries and improvements.
 </li>
 <li>
 Elicit and document business requirements with clarity and precision.
 </li>
 <li>
 Validate data capabilities and reporting requirements to ensure alignment with business needs.
 </li>
 <li>
 Create project plans and communicate effectively with key stakeholders.
 </li>
 <li>
 Define technical pointers for development teams and ensure requirements are delivered accurately the first time.
 </li>
 </ul>
 
 
 
 
 
 Who you are
 
 
 <ul>
 <li>
 Skilled in data analysis, gap analysis, and requirement engineering.
 </li>
 <li>
 Proficient in SQL, Teradata, Wherescape, and ETL tools.
 </li>
 <li>
 Experienced in BI and Data Warehousing projects, with exposure to telecom environments.
 </li>
 <li>
 Strong communicator with the ability to manage priorities and engage stakeholders effectively.
 </li>
 <li>
 Familiar with Agile project delivery, preferably within SAFe frameworks.
 </li>
 <li>
 Knowledgeable in RDBMS fundamentals and business analysis lifecycle.
 </li>
 </ul>
 
 
 
 
 
 Not a Perfect Fit?
 
 
 
 Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.
 
 
 
 
 
 
 What&rsquo;s in it for you
 
 
 <ul>
 <li>
 Opportunity to work on strategic analytics initiatives within a global telecom environment.
 </li>
 <li>
 Exposure to cutting-edge BI and DWH technologies.
 </li>
 <li>
 Collaborative work culture with cross-functional teams.
 </li>
 <li>
 Professional development through Agile project delivery and stakeholder engagement.
 </li>
 <li>
 A role that directly influences operational efficiency and customer experience.
 </li>
 </ul>
 
 
 
 
 
 What skills you will learn
 
 
 <ul>
 <li>
 Advanced data analysis and profiling techniques.
 </li>
 <li>
 Agile methodologies including SAFe practices.
 </li>
 <li>
 Telecom-specific business intelligence and reporting frameworks.
 </li>
 <li>
 Stakeholder management and requirement engineering.
 </li>
 <li>
 Technical planning and delivery coordination.
 </li>
 </ul>
 
 
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
</div>

Business Analyst

<div>
 
 
 Role - Sr. Business Data Analyst
 
 
 
 
 Experience - 5-8 Years
 
 
 
 
 Principal Accountabilities and Responsibilities
 
 
 
 
 <ul>
 <li>
 Responsible for
 
 requirements gathering, documentation of solution design,
 
 documenting and executing
 
 test scenarios
 
 and performing a variety of change and implementation management activities.
 </li>
 <li>
 May work across multiple projects and programmes simultaneously
 </li>
 <li>
 May be required to support change management activities spanning from early change planning and audience analysis; through to designing and delivering change interventions (e.g., communications, training, support, organisation alignment); and tracking.
 </li>
 <li>
 Taking actions on change readiness, adoption, and feedback. They are also ultimately responsible for Implementation Management, including planning, controlling, and reporting on implementation of the change &lsquo;product&rsquo;, focusing on accelerating benefits and minimising risk during deployment. Implementation activities will also include managing implementation readiness and managing the early stages of implementation (e.g. pilot).
 </li>
 <li>
 Business Analysts will often play a
 
 people / team management role
 
 within the projects / programmes they work on. As members of the Global Transformation management team, they will also have line or assignment management responsibility for a group of more junior resources within their resource pool (as related to their job family).
 </li>
 <li>
 Internal clients to facilitate effective
 
 data analysis/migration
 
 and process change and ensure expectations are effectively manage.
 </li>
 <li>
 A good understanding of the control requirement surrounding data handling will be advantageous in this role
 </li>
 <li>
 Assess the operational risks as part of the analysis and implementation planning and execution in conjunction with delivery managers
 </li>
 <li>
 Adhere strictly to compliance and operational risk controls in accordance with bank and regulatory standards, policies and practices; report concerns or observations in terms of control weaknesses, compliance breaches and operational risk impact.
 </li>
 <li>
 Ensure all due diligence is performed to prevent adverse impact to customers and business operations
 </li>
 <li>
 Support documentation of risks, issues and dependencies in the RAID log for allocated projects, and ensure that these are fed into the programme/PMO effectively.
 </li>
 </ul>
 
 
 
 
 
 
 Functional Knowledge
 
 
 
 
 
 
 <ul>
 <li>
 
 Strong Data and Business Analyst with Banking Knowledge
 
 </li>
 <li>
 Endorse team engagement initiatives, fostering an environment which encourages learning and collaboration to build a sense of community.
 </li>
 <li>
 Create environments where only the best will do and high standards are expected, regularly achieved and appropriately rewarded; encourages and supports continual improvements within the team based on ongoing feedback.
 </li>
 <li>
 Develop a network of professional relationships across the department and our stakeholders to improve collaborative working and encourage openness - sharing ideas, information and collateral.
 </li>
 <li>
 Encourage individuals to network and collaborate with colleagues beyond their own business areas and/or the Group to shape change and benefit the business and its customers.
 </li>
 <li>
 Must demonstrate strong business knowledge and sound business sense, and stay abreast of the industry, business-wise and technology-wise
 </li>
 <li>
 Stakeholder complexity &ndash; Business Analysts will often need
 
 gather requirements and agree designs across stakeholders
 
 , dealing with different interests and
 
 resolving disagreements and conflicts
 
 , and sometimes needing to challenge poor requirements and design decisions
 </li>
 <li>
 Solid working experience in data &amp; analytics field Demonstration of understanding in technology trends, methodologies, and tools for data &amp; analytics
 </li>
 <li>
 Experienced in technical product development and delivery using various technologies and can explain how they achieved this and the technologies used
 </li>
 <li>
 Understand and able to apply project management principles and portfolio management
 </li>
 <li>
 Communicate effectively with all levels of
 
 stakeholders, team management and conflict management
 
 skills
 </li>
 <li>
 Experienced in presenting to senior stakeholder in both business and technology
 </li>
 <li>
 Experienced on agile projects and understand the application of agile
 </li>
 <li>
 Understanding of how DevOps works and how to utilize in the agile process.
 </li>
 <li>
 Good in
 
 SQL
 
 , and SQL programming knowledge as a Data Business Analyst.
 </li>
 <li>
 
 Knowledge of ETL Process, GCP, Hadoop
 
 </li>
 <li>
 Knowledge of
 
 Jupyter Notebook
 
 </li>
 <li>
 
 Python or Pyspark, SQL
 
 </li>
 </ul>
</div>

2823 - Sr. Business Data Analyst

Rockwell Automation

<div>
 Rockwell Automation is a global technology leader focused on helping the world&rsquo;s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
 
 
 We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that&rsquo;s you we would love to have you join us!
 
 
 
 Job Description
 
 
 
 
 Job Title: Analyst - Data Science
 
 
 
 
 Location
 
 :Pune,India
 
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Data Science Analyst
 
 to engineer and develop advanced analytics solutions. You will have
 
 2
 
 
 or more years of experience
 
 and specialization in applying data science techniques to real-world business problems across industries such as healthcare, retail, manufacturing, or technology.
 
 
 You will be based in Balewadi, Pune and will work in hybrid. You will report to the Manager, Software Engineering.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Delivery
 </li>
 <ul>
 <li>
 Understand client business challenges and propose end-to-end AI/ML/data science solutions.
 </li>
 <li>
 Lead client-facing engagements, presenting analytical findings and business recommendations.
 </li>
 <li>
 Translate business requirements into technical deliverables and measurable outcomes.
 </li>
 </ul>
 <li>
 Technical Expertise
 </li>
 <ul>
 <li>
 Develop predictive models, optimization algorithms, and statistical analyses.
 </li>
 <li>
 Data preparation, feature engineering, model selection, validation, and deployment.
 </li>
 <li>
 Use tools like Python, R, SQL, Spark, or cloud ML services (AWS/GCP/Azure).
 
 </li>
 </ul>
 </ul>
 
 The Essentials - You Will Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields.
 </li>
 <li>
 2+ years of relevant experience in data science, machine learning, or AI roles.
 </li>
 <li>
 Strong foundation in statistics, ML algorithms, NLP, deep learning, or operations research.
 </li>
 <li>
 Hands-on expertise with Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools.
 </li>
 <li>
 Experience working with big data frameworks like Spark, Hadoop, or cloud-native tools.
 </li>
 <li>
 Proficiency in deploying models into production environments (MLOps is recommended).
 </li>
 <li>
 Excellent communication, presentation, and consulting skills.
 </li>
 <li>
 Experience in solving complex business problems with data.
 
 
 </li>
 </ul>
 
 Also Good To Have
 
 
 
 <ul>
 <li>
 Exposure to multiple domains (e.g., manufacturing, supply chain, healthcare).
 </li>
 <li>
 Experience with BI tools like Power BI, Tableau, Grafana etc
 </li>
 <li>
 Knowledge of generative AI, LLMs, or recent advancements in deep learning.
 </li>
 <li>
 Project management or consulting experience with top-tier firms.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Our benefits package includes &hellip;
 
 
 <ul>
 <li>
 Comprehensive mindfulness programs with a premium membership to Calm
 </li>
 <li>
 Volunteer Paid Time off available after 6 months of employment for eligible employees
 </li>
 <li>
 Company volunteer and donation matching program &ndash; Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Personalized wellbeing programs through our OnTrack program
 </li>
 <li>
 On-demand digital course library for professional development
 </li>
 <li>
 and other local benefits!
 
 
 </li>
 </ul>
 #Hybrid
 
 
 Rockwell Automation&rsquo;s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
 
 
</div>

Data Science Analyst

<div>
 
 This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.
 
 
 
 
 
 "DDN's A3I solutions are transforming the landscape of AI infrastructure." &ndash; IDC
 
 
 
 
 
 
 
 
 
 
 
 &ldquo;The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments&rdquo; - Marc Hamilton, VP, Solutions Architecture &amp; Engineering | NVIDIA
 
 
 
 
 
 
 DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
 
 
 
 
 Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
 
 
 
 
 Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
 
 
 
 
 
 
 Job Description: Data Scientist for Enhancing Support Operations
 
 
 
 Responsibilities for this role include but are not limited to:
 
 
 &bull;Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.
 
 
 &bull;Automating the collection and analysis of logs to reduce support resolution times.
 
 
 &bull;Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.
 
 
 &bull;Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.
 
 
 &bull;Developing a recommendation engine to suggest relevant articles and solutions based on context.
 
 
 &bull;Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.
 
 
 &bull;Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.
 
 
 &bull;Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.
 
 
 &bull;Documenting solutions, including implementation details and user guides, and providing training to support teams.
 
 
 
 
 
 Qualifications:
 
 
 &bull;BS/MS in Data Science, Computer Science, Computer Engineering, or equivalent degree/experience.
 
 
 &bull;5+ years of experience in data analytics, machine learning, and automation.
 
 
 &bull;Proficiency in programming languages such as Python, R, or Java.
 
 
 &bull;Experience with data processing frameworks like Hadoop, Spark, or similar.
 
 
 &bull;Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).
 
 
 &bull;Familiarity with natural language processing (NLP) techniques and tools.
 
 
 &bull;Experience with database systems and SQL.
 
 
 &bull;Strong problem-solving skills and ability to work with large datasets.
 
 
 &bull;Excellent communication skills and ability to collaborate with cross-functional teams.
 
 
 &bull;Self-starter with the ability to work independently and manage multiple tasks.
 
 
 &bull;Knowledge of distributed systems is a plus.
 
 
 &bull;Familiarity with version control systems like Git.
 
 
 &bull;Experience with issue tracking and CI/CD tools such as JIRA, Jenkins, Gerrit, and GitHub is useful.
 
</div>

Data Science Specialist

LTIMindtree

<div>
 
 Role Description
 
 
 
 Job Description
 
 
 Design and implement LLMbased applications using frameworks like LangChain
 
 
 Develop RAG pipelines integrating vector databases eg FAISS Pinecone Weaviate for knowledge retrieval
 
 
 Finetune and optimize pretrained LLMs OpenAI Hugging Face etc for domainspecific tasks
 
 
 Build prompt engineering strategies for effective model interaction
 
 
 Integrate AI solutions into enterprise systems using Python and APIs
 
 
 Ensure scalability performance and security of AI applications
 
 
 Stay updated with the latest advancements in Generative AI and NLP
 
 
 
 Required Qualifications
 
 
 
 BachelorsMasters in Computer Science AI or related field
 
 
 Strong experience in Python and AIML frameworks PyTorch TensorFlow
 
 
 Handson experience with LangChain and RAG architecture
 
 
 Familiarity with vector databases and embedding models
 
 
 Knowledge of cloud platforms AWS Azure GCP for AI deployment
 
 
 Excellent problemsolving and communication skills
 
 
 
 Preferred Skills
 
 
 
 Experience with OpenAI API Hugging Face Transformers or similar LLM platforms
 
 
 Understanding of MLOps and model deployment pipelines
 
 
 Familiarity with data privacy and compliance in AI systems
 
 
 
 Skills
 
 
 
 
 Mandatory Skills :
 
 MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS
</div>

Specialist - Data Sciences

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 300000 - Rs 600000 (ie INR 3-6 LPA)
 
 
 
 Min Experience: 3 years
 
 
 Location: Pune
 
 
 JobType: full-time
 
 
 We are seeking a dynamic and result-oriented
 
 Talent Acquisition Specialist
 
 to join our growing team. The ideal candidate will have hands-on experience in both
 
 IT and non-IT recruitment
 
 , with a strong ability to identify, attract, and hire top talent across various functions and leadership levels. You will play a key role in driving the end-to-end recruitment process, partnering closely with hiring managers and business leaders to deliver high-quality hires within defined timelines.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 End-to-End Recruitment: Manage the complete recruitment lifecycle including sourcing, screening, interviewing, negotiating offers, and onboarding candidates for IT and non-IT roles.
 </li>
 <li>
 IT &amp; Non-IT Hiring: Effectively recruit for a diverse range of positions &mdash; from software engineers, DevOps, and data analysts to sales, marketing, HR, operations, and finance roles.
 </li>
 <li>
 Leadership Hiring: Drive strategic hiring for mid to senior-level positions by identifying high-caliber professionals through targeted sourcing and headhunting.
 </li>
 <li>
 Sourcing Strategy: Leverage multiple sourcing channels such as job portals, LinkedIn, professional networks, social media, and employee referrals to build a strong candidate pipeline.
 </li>
 <li>
 Stakeholder Management: Partner with hiring managers to understand workforce needs, develop hiring strategies, and ensure alignment on candidate profiles and expectations.
 </li>
 <li>
 Candidate Experience: Deliver a seamless and positive candidate experience by maintaining transparent communication, timely feedback, and professionalism throughout the hiring process.
 </li>
 <li>
 Market Intelligence: Stay up to date with industry trends, compensation benchmarks, and talent availability to provide insights and recommendations to the business.
 </li>
 <li>
 Recruitment Analytics: Track and report recruitment metrics, including time-to-fill, cost-per-hire, and source effectiveness, to continuously improve hiring efficiency.
 </li>
 <li>
 Employer Branding: Collaborate with the HR and marketing teams to promote the company's employer brand, ensuring visibility and engagement across online platforms.
 </li>
 <li>
 Process Improvement: Continuously refine recruitment processes to enhance quality of hire, reduce turnaround time, and align with organizational goals.
 
 
 </li>
 </ul>
 
 Required Skills and Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent; MBA in HR or related field is preferred.
 </li>
 <li>
 3-5 years of experience in end-to-end recruitment, with a strong focus on both IT and non-IT roles.
 </li>
 <li>
 Proven experience in leadership hiring and handling niche or senior-level positions.
 </li>
 <li>
 Excellent sourcing skills using LinkedIn Recruiter, Naukri, and other professional platforms.
 </li>
 <li>
 Strong understanding of technical skill sets, market trends, and industry-specific hiring needs.
 </li>
 <li>
 Ability to manage multiple open positions simultaneously while maintaining a high quality of hire.
 </li>
 <li>
 Exceptional communication, negotiation, and interpersonal skills.
 </li>
 <li>
 Strong analytical mindset with attention to detail and a data-driven approach to hiring.
 </li>
 <li>
 Proactive, organized, and capable of working independently as well as collaboratively in a team environment
 </li>
 </ul>
</div>

Talent Acquisition Specialist

CloudRedux

<div>
 If you think and act like a
 
 Growth Hacker
 
 ; owns the responsibility for growth strategies, SEO &ndash; SMO strategies &amp; Lead generation, then this job is for you. We are looking for smart, enthusiastic and motivated individuals who can think out of the box and enjoy working on finding new growth hacks &amp; has a passion for SEO
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Perform keyword research in coordination with our business objectives to optimize existing content and uncover new opportunities
 </li>
 <li>
 Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages
 </li>
 <li>
 Provide recommendations and execute/manage strategies for content development in coordination with SEO goals general and keyword specific
 </li>
 <li>
 Responsible for managing all SEO activities such as content strategy, link building and keyword strategy to increase rankings on all major search networks
 </li>
 <li>
 Help to create and support marketing content to socialize and use for social media purposes (e.g. customer videos briefs, customer case studies, blog posts, posts from analysts and customers)
 </li>
 <li>
 Develop and implement link building campaigns
 </li>
 <li>
 Implement and administer search engine programs (XML sitemaps, shopping feeds, webmaster tools)
 </li>
 <li>
 Monitor and evaluate search results and search performance across the major search channels in order to improve rankings
 </li>
 <li>
 Monitor and evaluate web analytic dashboards and reports in order to develop and recommend SEO strategies
 </li>
 <li>
 Communication to management on project development, timelines, and results
 </li>
 <li>
 Knowledge of on-page &amp; off-page website site analysis.
 
 
 </li>
 </ul>
 
 Salary
 
 
 
 Best in the Industry
 
 
 
 Industry
 
 
 
 IT-Software / Software Services
 
 
 
 Functional Area
 
 
 
 Marketing, Advertising, MR, PR, Media Planning
 
 
 
 Role Category
 
 
 
 Online/Digital Marketing
 
 
 
 Role
 
 
 
 Search Engine Optimization /SEO Specialist
 
 
 
 Skills
 
 
 
 SEO Analysis, SMO, Link Building, Keyword Research, Site Analysis, Content Strategy, Marketing, Web Analytics, Social Media, SEM
 
 .
 
 
 
 
 Education
 
 
 
 (UG &ndash; Any Graduate &ndash; Any Specialization) AND (PG- Any Postgraduate &ndash; Any Specialization)
 
 
 <ul>
 <li>
 Good communication skills in English
 </li>
 <li>
 Hands on experience in working on planning Search Engine Optimization strategies, working with updated google algorithms
 </li>
 <li>
 Hands on running the live paid campaigns
 </li>
 <li>
 Should have knowledge of SEO and other Social Media Tools
 </li>
 <li>
 Ability to update and upgrade skills sets required for strategic implementation
 </li>
 <li>
 Excellent knowledge in google analytics, webmaster, Keyword planning
 </li>
 <li>
 Reasonable knowledge of web programming (changing content, uploading case studies, samples, contact form programming, HTML, CSS)
 </li>
 <li>
 Good attitude, punctuality, and leadership skills are mandatory
 </li>
 <li>
 Ability to work hard and result-oriented behavior
 </li>
 </ul>
</div>

SEO Specialist

Explore 80+ Data analytics specialist in Pune this October. Find roles across top companies and apply now to boost your career.