Big Data Business Intelligence Analyst

We are looking for a skilled Big Data Business Intelligence Analyst to join our team. The ideal candidate has an eye to supervising and operating bing Data applications and tools building. A candidate to transform big data into insights that drive business value and aid the decision-making process. Through the use of various tools and technologies (such as data analytics, data visualization, and data modeling), BI analysts can identify trends and correlations that help other departments to make appropriate business decisions. A candidate to analyze and interpret data, spend of time working with a host of business, Big Data, and analytics tools like Microsoft Excel, MS Office, SAS, Tableau, QlikView, Hadoop, Spark, MongoDB, Cassandra, Hive, R, Python, SQL, to name a few.


  • Identify development needs in order to improve and streamline operations.
  • Review and validate data as it’s collected.
  • Develop policies and procedures for the collection and analysis of data.
  • Implement new data analysis methodologies.
  • To gather and accumulate data from disparate sources, clean it, organize it, process it, and analyze it to extract valuable insights and information.
  • To identify new sources of data and develop methods to improve data mining, analysis, and reporting.
  • To write SQL queries to extract data from the data warehouse.
  • To create data definitions for new database files or alterations made to the already existing ones for analysis purposes.
  • To present the findings in reports (in table, chart, or graph format) to help the management team in the decision-making process.
  • To develop relational databases for sourcing and collecting data.


  • A Bachelor’s Degree in related area; and/or equivalent experience/training.
  • Four+ years data analyst or related experience, including proficiency with analytical software or equivalent related education.
  • Proficiency in statistics, data analysis, and research methods.Demonstrated knowledge of and skill in adaptability, decision making, customer service, interpersonal relations, oral communication, problem solving, project management, quality management, teamwork, written communication, group presentations, group process facilitation, influence, results orientation, strategic thinking, and team building.
  • Experienced with full Business Intelligence (BI) development life cycle including requirements generation and accelerated development approaches, and report documentation.
  • Fluency in information technologies, including high level of proficiency and understanding with data mapping, data mining and statistical software.
  • Thorough knowledge of relevant internal databases, BI applications and tools. Ability to produce high-quality reports and documentation.Proven ability to use dashboard intelligence platforms (i.e., IBM Cognos, Tableau Desktop, Tableau Server), enterprise performance management software, and other analytical technologies.
  • Experience with complex spreadsheets, tables, graphs, and PowerPoint slides.
  • Demonstrated experience mining data from multiple sources and databases using SQL, Access, pivot tables and other query tools.Proven experience with Python or any related scripting language, (PL)SQL. Knowledge of Microsoft Access or similar Relational Database Management Systems (RDMS) including experience with Structured Query Language (SQL) coding, data model design and building to group, analyze, and transform data.
  • Demonstrated ability to communicate technical information to technical and non-technical personnel​​​​

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