Urgently Required: Qliksense-Business Analyst & Data Science with ML, Python, SQL @ Mountain View, CA - Onsite

[raj anugula]

Hello Associates,

Greetings!

Please find the below Job Description and kindly share your profiles as soon as possible to Rajen...@OQPoint.com

Role: Qliksense-Business Analyst
Location: Mountain View, CA (Day 1 onsite)

Skills:
5+ years of experience working in a data analytics/BI role
Fluency in conducting data discovery and quality checks
Building dashboards using Qlik (preferred)
Demonstrates strong business acumen and curiosity
Excellent problem-solving skills and end-to-end quantitative thinking
Produce & maintain scalable business performance reports
Build and maintain data pipeline for existing reports
Summarize high-level trends in KPIs and performance (optional)
Works directly with the internal or external client to identify analytical requirements.
May occasionally guide less experienced business data analysts

Role: Data Science with ML, Python, SQL

Location: Mountain View CA (Day 1 onsite)

 

Data science, knowledge on data models, regression techniques. The regression method

 

Skills:

·        5+ years of experience working in a data analytics role

·        Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, customer segmentation, and funnel analysis

·        Hands-on expertise with SQL, R/Python and statistical modeling techniques (e.g. regression, classification, time series) to answer a wide range of measurement questions.

·        Ability to tell stories clearly and concisely with data, and how they drive business outcomes

·        Demonstrates strong business acumen and curiosity

·        Excellent problem-solving skills and end-to-end quantitative thinking

·        Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining.

·        Determines best practices and develops actionable insights and recommendations for the current business operations.

·        Produce adhoc reports, conduct data discovery and quality checks needed for reports