JOB DESCRIPTION

    

Position: Senior Data Analyst                                             Status: Full Time

Supervisor’s Title: VP Data                                                 Start Date: tbd

Location: Remote

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Primary Goal: The primary role of the Senior Data Analyst is to leverage data to extract meaningful insights that drive informed decision-making and business growth.

 

Responsibilities:

 

• Work closely with business and technical teams in the analysis of business problems and use creative problem solving to deliver actionable output. 
• Deliver and lead the company through high-quality data-driven business analyses, empirically derived analytic models, and strategies that address business issues and provide key insights.
• Develop an ongoing revision of long-term strategic plans for analytics 

deliverables. 

• Optimize the company-wide data acquisition program, creating a standard approach for acquiring and evaluating unique data asset quality with compliant and enterprise-wide usage rights. 
• Build scalable data pipelines, establish, and set benchmarks and key performance indicators of the overall health of the business, as well as success metrics for product and marketing initiatives. 
• Develop data management practices, and unique and secure storing and sharing mechanisms, in line with security best practices and data laws and regulations (including but not limited to GDPR), as well as the governance of the lifecycle of data from initial creation or acquisition to its eventual retention or deletion. Monitor compliance with such laws and best practices. 
• Effectively communicate with leadership team about results of analyses. 
• Other duties as assigned. 

 

Required Minimum Education and Experience:

 

• Bachelor's degree or equivalent in Mathematics, Statistics, Computer Science, Economics, or related field.

• 2+ years’ experience working as a Data Analyst or similar role.
• Proficiency in SQL and database management systems.
• Strong analytical skills with the ability to collect, organize, and analyze large datasets.
• Excellent communication skills with the ability to present complex information in a clear and concise manner.
• Strong attention to detail and problem-solving abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Fluent in English, any additional languages a plus.
• Authorized to legally work for any employer in the United States. 
• Willingness to submit to any requested background checks. 

 

Additional Preferred Requirements:

 

• Experience with programming languages such as Python, R, or Java.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Knowledge of machine learning techniques and predictive modeling.
• Experience with distributed data frameworks like Hadoop and spark to write and debug data pipelines.
• Good understanding of development processes and best practices like engineering standards, code reviews and testing.

Competencies: To perform the essential functions of this position and the job successfully, an individual should demonstrate the following competencies.   

• Interpersonal skills—thrives in, and fosters, a team-oriented environment; able to establish strong relationships based on a foundation of trust; is able to easily and confidently work with a diverse constituency in regard to cultural backgrounds, levels/roles, and personality differences; remains open to others' ideas.  
• Oral communication— speaks clearly and persuasively in positive or negative situations and able to effectively make presentations to small or large groups.  
• Written communication—drafts products with minimal oversight; edits work for spelling and grammar; presents numerical data effectively and accurately; able to skillfully write, read and interpret written information.  
• Technical knowledge—possesses thorough knowledge of all operating systems and programs required by this role.  
• Leadership—drives results and establishes and follows fundamental goals; successfully manages and motivates employees; proposes innovative solutions; fosters a success-oriented, accountable environment.  
• Planning/organizing—effectively prioritizes and plans work activities; manages own time as well as others’ time efficiently and effectively; successfully manages conflicting priorities; communicates key objectives and necessary tactics to meet project requirements/goals; proactively identifies and anticipates needs and makes recommendations for implementation.  
• Quality control—demonstrates accuracy and thoroughness and monitors own work to ensure quality.  
• Adaptability—skillfully adapts to changes, delays, or other unexpected events; manages competing demands, priorities, and deadlines; able to coordinate across various time zones.  
• Dependability— self-directed, self-accountable, and self-motivated; meets deadlines; attendance is punctual and reliable; able to take direction, follow instructions, and work independently; solicits feedback to improve performance.

 

Supervisory Responsibilities: This position does not have direct supervisory responsibilities.