Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.
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Immediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
Proficiency in Linux.
Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
Must have experience with Python/Scala.
Must have experience with Big Data technologies like Apache Spark.
Must have experience with Apache Airflow.
Experience with data pipeline and ETL tools like AWS Glue.
Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
Minimum of 8 years of experience of which, 4 years should be of applied data mining
experience in disciplines such as Call Centre Metrics.
Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.
Experience with leading and managing large teams.
Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.
Demonstrated experience with Business Intelligence/Data Mining tools to work with
data, investigate anomalies, construct data sets, and build models.
Critical to share details on projects undertaken (preferably on telecom industry)
specifically through analysis from CRM.

What you will do:
- Bringing data to life via Historical and Real Time Dashboard like:
2. Transaction behavior analytics
3. User level analytics
4. Propensity models and personalization models, eg whats the best product or offer to drive a sale
5. Emails/ SMS/ AN – analytics models getting data from platforms like Netcore+ Branch+ Internal Tables
6. Other reports that are relevant to know what is working, gaps, etc
- Monitoring key metrics such as commission, gross margin, conversion, customer acquisitions etc
- Using the data models and reports to draw actionable and meaningful insights. Based on the insights helping drive the strategy, optimization opportunities, product improvement and more
- Demonstrating examples where data interpretation led to improvement in core business outcomes like better conversion, better ROI from Ad spends, improvements in product etc.
- Digging into data to identify opportunities or problems and translating them into easy-to-understand way for all key business teams
- Working closely with various business stakeholders: Marketing, Customer Insights, Growth and Product teams
- Ensuring effective and timely delivery of reports and insights that analyze business functions and key operations and performance metrics
What you need to have:
- Minimum 2 years of data analytics and interpretation experience
- Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
- Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
- Strong marketing acumen to be able to translate data into marketing outcomes
- Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
- Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)
Tableau Developer |
Tableau Prep-MUST+Tableau+SQL |
Must have expereince in Tableau Prep
miimum 4 years of expereince
should have expereince in SQL


● Ability to do exploratory analysis: Fetch data from systems and analyze trends.
● Developing customer segmentation models to improve the efficiency of marketing and product
campaigns.
● Establishing mechanisms for cross functional teams to consume customer insights to improve
engagement along the customer life cycle.
● Gather requirements for dashboards from business, marketing and operations stakeholders.
● Preparing internal reports for executive leadership and supporting their decision making.
● Analyse data, derive insights and embed it into Business actions.
● Work with cross functional teams.
Skills Required
• Data Analytics Visionary.
• Strong in SQL & Excel and good to have experience in Tableau.
• Experience in the field of Data Analysis, Data Visualization.
• Strong in analysing the Data and creating dashboards.
• Strong in communication, presentation and business intelligence.
• Multi-Dimensional, "Growth Hacker" Skill Set with strong sense of ownership for work.
• Aggressive “Take no prisoners” approach.








