Data Analyst / Data Scientist Jobs in Indore - Anaxee Digital Runners Pvt Ltd

Data Analyst / Data Scientist

Anaxee Digital Runners Pvt Ltd

0 to 3 Years

Not disclosed

Expired

Posted: 20 Jun 20

Job Description

Job Role

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Job Location: Indore | Full-Time Internship | Stipend - Performance-Based |

About The Company

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand. KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India)

Important: Check out our company pitch (6 min video) to understand this goal - Responsibilities:

Ensure that data flows smoothly from source to destination so that it can be processed
Utilize strong database skills to work with large, complex data sets to extract insights
Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
Work closely with top management to prioritize information and analytic needs

Requirements

Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
Proven problem solving and debugging skills.
Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
Experience with text analytics, data mining and social media analytics.
Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.