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Data Analyst

We are a world-leading company in Social Media Background Check Technology. LifeBrand’s mission is to develop the most advanced technology to detect and remove potentially harmful content from users' social media pages. With our patent-pending technology, we have built a safer and more compliant way to perform social media background checks to protect the privacy and rights of employees and employers.


  • You will take responsibility for managing our data importation and transformation, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
  • Manage data importation, transformation, and deletion.
  • Provide quality assurance of imported data; work with quality assurance analysts if necessary.
  • Create scripts and automation for common workflows.
  • Prepare datasets for enrichment by third-party vendors.
  • Commission and decommission of data sets.
  • Process confidential data and information according to guidelines.
  • Help develop reports and analysis.
  • Respond to ad-hoc analysis requests.
  • Manage and design the reporting environment, including data sources, security, and metadata.
  • Support the data warehouse in identifying and revising reporting requirements.
  • Support initiatives for data integrity and normalization.
  • Assess tests and implement new or upgraded software and assist with strategic decisions on new systems.
  • Generate reports from single or multiple systems.
  • Troubleshoot the reporting database environment and reports.
  • Evaluate changes and updates to source production systems.
  • Train end-users on new reports and dashboards.
  • Provide technical expertise in data storage structures, data mining, and data cleansing.
  • Communicate across teams to coordinate data operations.

Required Skills and Abilities

  • Bachelor’s degree from an accredited university or college in computer science.
  • Work experience as a data analyst or in a related field. (2-5 years)
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • High-level written and verbal communication skills.