Data Analyst I

Mullen Coughlin•Philadelphia, PA
•Remote

About The Position

Mullen Coughlin is seeking a Data Analyst I for a full-time, non-exempt position with the option to work remotely. The analyst will support legal matters related to data privacy by interpreting, organizing, processing, and analyzing sensitive data sets. The role involves developing data analytics and processing tools, cleaning and transforming data from various sources, assessing data quality, identifying trends and patterns, and communicating insights to internal and external clients when applicable. The Data Analyst I will work with data engineers, the CIO, attorneys, and teammates to prioritize needs and deliver assignments under hard deadlines and potentially short turnaround times. The position also supports scalable data management solutions and process improvements, along with other database and analytics projects as directed. The successful candidate must handle confidential information with integrity and obtain Google Cloud Certified Professional Data Engineer certification within six months of hire.

Requirements

  • At least one year of experience working with data management or as a data analyst.
  • Advanced Excel skills, including writing functions to manipulate or enrich data, such as if-then statements, VLOOKUPs, TEXTJOIN, LEFT, MID, and RIGHT.
  • Experience with SQL, MySQL, and/or PostgreSQL.
  • Highest integrity and ability to handle confidential information appropriately.
  • Resourceful problem-solving skills and ability to seek effective and efficient solutions.
  • Excellent interpersonal and verbal and written communication skills, adaptability, and situational sensitivity.
  • Comfort balancing multiple assignments or cases.
  • Demonstrated process-improvement experience, resourcefulness, and interest in developing scalable data management solutions.
  • Ability to obtain Google Cloud Certified Professional Data Engineer certification within six months of hire.
  • Applicant must be authorized to work in the United States.

Nice To Haves

  • Bachelor of Science in Computer Science or a related field.
  • At least one year of programming experience in Python.
  • Experience using source control, such as Git.
  • Data analytics, big data, and/or other IT certifications.
  • Google Cloud Certified Professional Data Engineer certification.

Responsibilities

  • Interpret and organize sensitive data sets to support legal matters related to data privacy cases.
  • Develop data analytics and processing tools or systems to expedite data-set processing.
  • Use coding methods to clean, manipulate, and transform data received from various sources.
  • Perform initial analysis to assess data quality.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work with Data Engineer(s), the CIO, and designated attorneys to prioritize business and information needs.
  • Work effectively with teammates in a fast-paced environment while meeting hard deadlines and potentially short turnaround times.
  • Provide timely status reports and updates to management or attorneys about duties and assignments.
  • Communicate data analytics insights to internal and external clients when applicable.
  • Design and create scalable solutions for data management and other process improvements.
  • Support other database and analytics projects as directed.

Benefits

  • Full benefit package.
  • Accrued time off.
  • Paid maternity and paternity leave.
  • Generous 401(k) program.
  • Access to office amenities and resources supporting professional development, health, and well-being.
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