Senior Data Analyst, Professional Services

Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London.
At Traackr, we’re lucky to have a team of kind, driven, and respectful humans from around the world. We operate on a culture of mutual respect, with core value pillars including:
- Trust. We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity. - Diversity. Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.- Value. Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds. - Ownership. We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments. - Mutual success. We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success. 
Our team also loves having fun together, with many employee-led initiatives like the Traackr Summer Olympics annual workout challenge!
The Senior Data Analyst will be the most senior team member with a strong technical background and will be responsible for leveraging Traackr’s extensive dataset, which includes millions of influencer performance and demographic/psychographic data points, to help our clients optimize their influencer investment and performance. Key focus areas include performance measurement, spend optimization, and return on investment.
The objectives of Traackr’s Professional Services team are:- Become a strategic advisor to Traackr’s Enterprise Customers to help them optimize influencer programs by sharing best practices and developing advanced measurement solutions.- Generate insights and thought leadership in the influencer marketing space that will contribute to Traackr’s innovation capabilities.- Develop new data analysis methodologies and visualizations that can be prototyped as services and influence our future product developments.- Help Customers make the most of their Traackr subscription by analyzing performance and offering strategic recommendations backed by data

Responsibilities

• Develop innovative strategies for clients to leverage data to assess and understand the ROI of their investments with influencers.
• Collaborate with Consultants and Client Partner teams to thoroughly understand client needs and devise effective methodologies for fulfilling project requests.
• Coach and mentor members of the Insights team, enhancing their scripting and data visualization skills to build team capability.
• Extract, aggregate, and visualize data from Traackr’s database to uncover trends and actionable insights that inform client strategies.
• Document processes and identify opportunities to streamline workflows, improving team efficiency and effectiveness.
• Collaborate with Data and Engineering teams to optimize data access and contribute valuable insights to the product roadmap. Introduce and implement new analytical methods and innovative technologies, advanced visualization tools, to enhance data analysis capabilities.
• Collaborate and innovate with a team of passionate professional service and marketing experts to help position Traackr as the most advanced and actionable influencer marketing tool in the industry.
• Analyze Traackr data to identify trends, key indicators, patterns, and insights that support product development and marketing initiatives.
• Utilize market research and statistical methodologies to perform thorough analyses, ensuring data-driven decision-making.
• Perform data collection, input, and aggregation processes to develop and maintain comprehensive research databases.

Qualifications

• 4-7 years of experience in data analysis, data science, or a related field.
• Proficiency in creating pivot tables and running regression models to analyze data trends.
• Experience with R or Python for statistical programming and data manipulation.
• Advanced expertise in data visualization using tools such as Tableau, Data Studio, or R/Python to effectively communicate key findings to stakeholders.
• Proficiency in programming languages like Python, Shell, R, and SQL.
• Experience running scripts/programs from the Linux/Unix/OSX command line (terminal).
• Experience with text analys