1,330 Presales Analytics jobs in India
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Presales Data Analytics
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- BE/ B.Tech/MBA
- Relevant Data Analytics experience is required for at least 8+ years.
- 3+ years' experience in presales role is highly preferred.
- Hands on experience leading large-scale global big data / analytics projects.
- Understanding of Apache Hadoop and the Hadoop ecosystem including Hive, Spark, Kafka, Solr
- Familiarity with tools/technologies such as SAS, IBM, Tibco, Databricks, Azure
- Familiarity with SQL-on-Hadoop technologies such as Hive, Impala, Spark SQL, and/or Presto.
- Experience using data visualization, dashboard, reporting tools like Qlik, Power BI, Tableau, Micro strategy etc.
- Current hands-on implementation experience required, possessing 5 or more years of IT platform implementation experience.
- Experience in a consultative technical sales or professional services with a proven track record of success.
- Track record of thought leadership and innovation around Data Analytics.
**Job Requirement**
- Proven experience in Data Science and Engineering consulting with capabilities to define data solutions.
- Knowledge of data extraction transformation (ETL/ELT) processes
- Good understanding on Service delivery methodologies and frameworks
- Direct Team Management experience
- Prior experience in writing data business cases for customers and creating impactful value books.
- Presentation skills with a high degree of comfort with both large and small audiences.
- Must be self-directed/self-motivated with a clear sense of ownership and a solution oriented approach.
- Experience in building and responding to RFPs.
- Own and create Points of view and Value data propositions by working collaboratively with stakeholders like Demand Tech Principals, Domain SMEs, and their technical practitioners.
- Design effective and efficient solutions utilizing Inspira's and partner OEM offerings geared towards the client’s desired outcome.
- Work closely with the Sales, Presales and Delivery Services teams.
- Build a high impact on senior-level corporate presentations and deliver solution demonstrations that align with the Company's technology and business needs.
- Identify and drive proactive proposals with customers
- Market Research to ensure on upcoming trends in the space of Data Analytics
- Put together business cases for the sales teams to support their proposals.
- Document and communicate the business value delivered to our clients.
Senior Partner Solution Architect (Data Analytics - Presales)
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Description
What makes us Qlik?A Gartner Magic Quadrant Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new Partner Solution ArchitectRoleAre you passionate about shaping the future of data and analytics? As a Senior Solution Architect in our Partner Solution Engineering Organization, you’ll play a key role in driving the success of Qlik’s Partner Program across APAC. You’ll be at the forefront of innovation, working with some of the most influential partners in the industry, empowering them with the knowledge and tools to create impactful solutions. In this dynamic, agile environment, you’ll collaborate with Sales, Marketing, R&D, Consulting, and Customer Success teams, making every day an opportunity to solve challenges, grow, and make a lasting makes this role interesting?If you're passionate about helping businesses harness the full potential of their data and want to be part of a team that values expertise, innovation, and collaboration, this is your opportunity to make a real difference. Apply today!More about Qlik and who we are:Find out more about life at Qlik on social: , , , and , and to see all other opportunities to join usand our values, check outour .What else do we offer?
#L1-APAC
Presales Principal Solution Architect - Data Analytics / BI
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Description
What makes us Qlik?
A Gartner Magic Quadrant Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster.
We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.
ThePrincipal Solution ArchitectRole
Are you ready to take the lead in shaping the future of data and analytics? As a PrincipalSolution Architect, you’ll be the go-to technical expert, guiding some of the largest customers and partners in the India region. You’ll be at the forefront of demonstrating how cutting-edge data integration and analytics solutions can drive real business transformation. Collaborating closely with a dynamic Presales team in a flexible, agile environment, you’ll have the opportunity to showcase your expertise while working with Sales, Marketing, R&D, Product, Consulting, and Customer Success teams. If you're looking for a role that is engaging, fast-paced, and full of opportunities to make an impact, this is it.
What makes this role interesting?
Here’s how you’ll be making an impact:
We’re looking for a teammate with:
Travel Requirements:
Thelocation for this role is:
India – Mumbai
If you're passionate about helping businesses harness the full potential of their data and want to be part of a team that values expertise, innovation, and collaboration, this is your opportunity to make a real difference. Apply today!
More about Qlik and who we are:
Find out more about life at Qlik on social: , , , and , and to see all other opportunities to join usand our values, check outour .
What else do we offer?
Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our
Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.
#LI-APAC
Data, Analytics,
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• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
Data Analytics
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Roles and Responsibilities
Hiring for a Leading Private Sector BankResponsibilities :-Data Analytics
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Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
Data & Analytics
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Through supporting the Head of Data & Analytics, Global Facultative in delivering the Data & Analytics vision, responsibilities will include the full range of duties that fall under Data & Analytics. Examples include:
- Data collection (from internal and external sources), cleansing, transformation, and enrichment, where required.
- Data analysis, visualization and dashboarding.
- Coding projects (SQL, R, RShiny, VBA).
- General day-to-day supporting brokers.
- Supporting the development and testing of analytical tools.
- Other ad-hoc responsibilities such as writing articles and occasionally placement submission work.
- Communication of all the above and training to users of any solutions delivered.
**Skills Required**:
- Technically minded with a desire to work in a truly varied role with a large range of stakeholders.
- A blend of technical and commercial skills required. A quantitative background would be ideal.
- Experience of working in data management, data quality, data governance, data modelling, and business intelligence would be advantageous but not essential.
- Experience in an insurance setting would be advantageous but not essential.
- Strong experience in R is required, and strong R Shiny experience would be very advantageous.
- Specifically, good knowledge of SQL, R and VBA and comfort of working with big datasets generally.
- Enthusiasm and comfort in getting involved with a range of coding and non-coding projects is the key requirement here.
- Data Visualization and Dashboarding tools experience (Power BI/R shiny/Tableau/Qlikview etc).
- Ability to draw conclusions from data in a logical, systematic way and communicate these effectively.
- Motivation to improve the broking and client experience using data insights and analytical tools.
- Problem solving skills and the ability to work independently - with accountability - as well as part of a team.
- ETL, data science and web scraping expertise would be advantageous but not essential.
- Experience of communicating to a range of stakeholders.
- A team player able to work with a large number of colleagues from different departments.
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Data Analytics
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Company - Tech Mahindra
Position - Data Analyst
Location - Hyderabad
Experience - 5 to 8 Years
Skills
- Critical / Must have Skill
- Experience: 5-8y
- Basic Python is Mandatory
- Strong Mathematical Knowledge
- Basic statistical knowledge
- Good at Problem solving approach, logical & reasoning
Hand-on Skill / Tool Test
- Python Programming in data analytics
- Hands on experience in ML
- Statistical Modeling
Schedule:
- Day shift
Work Location: In person