Data Analyst / Data Scientist

<p> </p><p><b>Other locations </b>: Canada, London, India &amp; Australia. </p> <p><b>Remote </b>: OK </p> <h3>Job role: </h3> <p>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. </p> <h3>Responsibilities: </h3> <ul> <li>Ensure that data flows smoothly from source to destination so that it can be processed </li> <li>Utilize strong database skills to work with large, complex data sets to extract insights </li> <li>Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes </li> <li>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 </li> <li>Build tools for automating repetitive asks so that bandwidth can be freed for analytics </li> <li>Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions </li> <li>Work closely with top management to prioritize information and analytic needs </li> </ul> <h3>Requirements: </h3> <ul> <li>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). </li> <li>Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred. </li> <li>Proven problem solving and debugging skills. </li> <li>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. </li> <li>Experience with text analytics, data mining and social media analytics. </li> <li>Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc. </li> </ul> <p></p> #J-18808-Ljbffr