Data Analyst - San Francisco, United States - Society of Exploration Geophysicists

    Society of Exploration Geophysicists
    Society of Exploration Geophysicists San Francisco, United States

    2 weeks ago

    Default job background
    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.

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