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1 Vacancy
This is a remote position.
Location: Full Remote (Infrequent Travel)
We are seeking a motivated and detailoriented Data Analyst to join our clients dynamic team. The successful candidate will play a crucial role in managing and analyzing data related operations for our client settlements and legal marketing. This role offers an exciting opportunity to work in a fastpaced environment providing valuable insights that drive our operations and decisionmaking processes.
Our client believes that a commitment to our uncompromising values and integrity should always guide our decisions and actions as we pursue our goals. The following are the Core Values that form the foundation of our measurement of success: Lead With Love Be Trustworthy Strive For Excellence and Team Over Self.
Why Join Our Clients Team
About the Role
Our client is a dynamic and innovative organization dedicated to righting consumer wrongs by putting out easytounderstand news for consumer lawsuits and settlements. With a commitment to excellence and continuous improvement we are seeking a talented individual to join our team as a Junior Data Analyst. This role will support the data acquisition and reporting processes to support our business and enhance overall operational efficiency.
Our client utilizes MongoDB a NoSQL Cloud platform for our data warehousing. As a Junior Data Analyst you will be responsible for assisting the DevOps team in maintaining the integrity of our data structure and to help meet all reporting needs throughout our organization. You will collaborate with crossfunctional teams to ensure seamless integration troubleshoot issues and implement best practices for utilizing the features of our data environment.
Design and implement data flow pipelines with data engineering team
Collect clean and maintain large datasets from various sources.
Ensure data integrity and accuracy by performing regular audits and validations.
Develop and maintain dashboards and reports to communicate findings to internal stakeholders.
Collaborate with the marketing team to measure the effectiveness of legal marketing campaigns and suggest improvements.
Assist in the development of data models and predictive analytics to enhance our decision making capabilities.
Stay uptodate with industry trends and best practices in data analysis and legal marketing.
Analyze data to identify trends patterns and insights relevant to class action lawsuits and legal marketing.
Bachelor s degree in Data Science Statistics Computer Science or a related field.
Experience with NoSQL databases (e.g. MongoDB Cassandra etc.).
Proficiency in data analysis tools and languages (e.g. Mongo Python SQL).
Strong analytical skills with the ability to interpret complex datasets.
Excellent problemsolving skills and attention to detail.
Good communication skills both written and verbal.
Ability to work independently and as part of a team.
Experience in legal data or legal marketing is a plus.
Familiarity with legal industry data and terminology.
Experience in digital marketing analytics.
Tealium and Digital Marketing knowledge a plus
Knowledge of data visualization tools (e.g. Tableau Looker Studio).
Understanding of statistical analysis and machine learning techniques.
Competitive salary and benefits package.
Opportunities for professional development and growth.
A collaborative and supportive work environment.
The chance to make a meaningful impact by helping consumers through legal actions.
Comprehensive benefits include 100% paid medical dental and vision coverage for full time employees and 50% paid for dependent coverage
Unlimited paid time off 6 days of paid sick time and paid holidays
401K with up to 4% employer match
$150 per month for reimbursement of remote working expenses
Potential for stock options and/or profit sharing in Top Class Actions after completion of first year of employment
Peoplefirst mindset: we care about our employees and provide flexibility and understanding to help them attain lifework balance
Commitment to and support of our employees growth through professional development opportunities within the company
Employee recognition program
Full Time