Urgently Hiring: Data Analyst / Data Scientist (Remote)

Key Job Details:

• Compensation: a competitive salary
• Location: Remote
• Start Date: Immediate openings available
• Company: Hol Career
• Position: Data Analyst / Data Scientist
• Job Type: FULL_TIME

 

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• 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. 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 asks 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 in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 3 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. Apply Job!

 

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