Role description
Tredence is a global analytics services and solutions company. Our capabilities range from Advanced analytics and Data Management to Data Visualization, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.
A role with Data Analytics means being a part of the team that works closely with the business and identifies problems / opportunities for improved decision-making through better data analysis. This covers the whole gamut from simple descriptive analysis to more complex predictive and prescriptive
analytics. The emphasis is on actionable insights, which is possible through a combination of technical skills and business understanding.
Job Title: Lead / Senior Data Analytics specialistExperience Level: 7~13 Years of experienceLocations: BangaloreEmployment Type: Full-time
Required Skills - PowerBI, SQL, DAX, Digital Analytics,
Roles & Responsibilities
<ul data-editing-info="{"applyListStyleFromLevel":true}">
As a Senior Data Analyst for Digital, you will work closely with business teams and understand their priorities/roadmap.
Based on this understanding, you are expected to identify appropriate metrics that will drive the right decisions for the business, and then build reporting solutions to deliver these metrics at the required frequency in an optimal and reliable fashion. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations.
Some of these will lead to bigger analytical projects of increasing complexity, where you will work initially as a part of a bigger team, but also work independently as you gain more experience. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc.
About You:
<ul data-editing-info="{"applyListStyleFromLevel":true}">
B.Tech / B.E. or equivalent experience
7+ years of relevant experience
“Hands-on” experience in analytics
/ data science
Excellent SQL skills/ Power BI expertise
Experience with Digital Analytics space
Exposure to R, Python, Hive, or other open source languages preferable
Big data experience preferable
Strong written and verbal communication skills to explain complex analytical methodologies to clients regardless of the clients technical expertise
Experience in A/B test
Experience in Adobe analytics
Understanding of foundational mathematics and statistics
Conceptual understanding of analytical techniques like Linear Regression, Logistic Regression, Time-series models, Classification Techniques, etc.