Data Analyst / Data Scientist

psudo; San Francisco (CA); Hybrid; USD 70,000 - 90,000; Full time

Job summary

A technology firm in San Francisco is looking for a Data Analyst responsible for translating data into actionable insights. The ideal candidate will have a quantitative background and experience with database technologies such as SQL and R. This role involves collaboration with various departments to optimize processes and provide data-driven strategies. The company offers a hybrid work model.

Qualifications

• 2-3 years of experience in data analysis preferred, freshers accepted.
• Familiarity with statistical packages and programming required.
• Experience with data for customer insights and market analysis advantage.

Responsibilities

• Ensure data flows smoothly from source to destination.
• Utilize database skills to extract insights from large data sets.
• Filter and cleanse ambiguous data into usable sets.

Skills

Database skills

Data analysis

Problem solving

Programming in high-level languages

Text analytics

Education

Bachelors or Masters in a quantitative field

Tools

SQL

R

SAS

Job description

Other locations: Canada, London, India & Australia.

Remote: OK

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 2-3 years (open to talk to freshers as well).
• 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.