Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

Job Title: Lead Tableau Consultant

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·   Develop dashboards and reports using Power BI.

·   Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·   Build and optimize data models and DAX queries.

·   Collaborate with stakeholders to gather and analyze reporting needs

·   Ensure performance, security, and scalability of visual solutions

·   Strong experience in Tableau

Required Skills:

·   Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·   Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·   LOD Expressions)

·   Microsoft Fabric (preferred)

Job Summary

The Data Analyst is required to Data capture, data cleaning, data preparation, data management and data analysis and interpretations required by the Business. Handle data factory with precision and confidentiality. The role is crucial for providing actionable insights to improve teaching quality, enhance student performance, optimize business operations, and drive growth.

Essential Job Responsibilities:

Academic Data Analysis

·       Analyze student performance data from internal assessments, mock tests, and board exams.

·       Identify trends in subject-wise performance, batch-wise progress, and dropout patterns.

·       Generate reports to assist academic heads in making data-driven interventions.

·       Predict outcomes of upcoming competitive exams (JEE/NEET) based on historical data.

Business & Marketing Intelligence

·       Monitor enrollment trends, inquiry-to-admission conversions, and campaign ROI.

·       Provide insights into market behavior, location-wise performance, and competitor benchmarking.

·       Analyze fee structures, discounts, and scholarship schemes for profitability and optimization.

Operational & Centre Efficiency

·       Evaluate the performance of branches/centres using KPIs like retention rate, attendance, student satisfaction, and staff productivity.

·       Support planning for new center openings with predictive enrollment data and location-based analytics.

Technology & Automation

·       Build and maintain dashboards using BI tools (Power BI, Tableau, Excel, Google Data Studio).

·       Work closely with IT or CRM teams to ensure data accuracy and integrity across systems.

·       Automate regular reporting processes to reduce manual workload.

Strategic Decision Support

·       Support senior management with forecasting models, statistical reports, and scenario simulations.

·       Present insights in the form of structured reports, visual dashboards, or presentations.

Supervisory Responsibilities

Number of subordinate supervisors reporting to this job

N/A

Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors

N/A

Job Qualifications: 

Education

·       Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or related field.

Experience

·       Must be a highly-skilled with 3+ years of experience.

·       Demonstrate ability to successfully process all work types

Knowledge / Skills

·       Analytical skills & Critical Thinking

·       Data Visualization

·       Microsoft Excel, VBA, R , Python, Tableau, Power BI

·       Efficient in AI powered Data analysis tools

Licenses / Certifications

·       Data Analytics desirable

Working Conditions:

Virtual environment, extended length of time in sitting position, medium stress environment

Physical Demands:

N/A

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

What you will do:-

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

What we are looking for:-

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces. .

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

Role - Senior Executive Analytics (BI)

Overview of job -

Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics.

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.

• Work with large data sets via hands-on data processing to produce structured data sets for analysis.

• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

What you will need:

• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.

• Proficiency in one or more coding languages – preferred languages: Python, R

• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

• Proficiency in using SQL.

• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

Senior Software Engineer - 221254.

We (the Software Engineer team) are looking for a motivated, experienced person with a data driven approach to join our Distribution Team in Budapest or Szeged to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.

A Day in the life

You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.

You will…

•work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations

•provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs

•work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers

•work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.

•do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.

•be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.

You have...

•strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#

•hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt

•confidence with Linux environments

•ability to identify critical weak spots in distributed software systems

•experience in developing automated test cases and test plans

•ability to deal with distributed systems

•solid interpersonal skills conducive to a distributed environment

•ability to work independently on multiple tasks

•self-driven & motivated, with a strong work ethic and a passion for problem solving

•innovate and automate and break the code

The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.

Technical/Core skills

1. Minimum 3 yrs of exp in Informatica Big data Developer(BDM) in Hadoop environment.
2. Have knowledge of informatica Power exchange (PWX).
3. Minimum 3 yrs of exp in big data querying tool like Hive and Impala.
4. Ability to designing/development of complex mappings using informatica Big data Developer.
5. Create and manage Informatica power exchange and CDC real time implementation
6. Strong Unix knowledge skills for writing shell scripts and troubleshoot of existing scripts.
7. Good knowledge of big data platforms and its framework.
8. Good to have an experience in cloudera data platform (CDP)
9. Experience with building stream processing systems using Kafka and spark
10. Excellent SQL knowledge

Soft skills :

1. Ability to work independently 
2. Strong analytical and problem solving skills
3. Attitude of learning new technology
4. Regular interaction with vendors, partners and stakeholders