WELCOME TO TINUITI! We are the largest independent performance marketing firm in North America across the Triopoly of Google, Amazon, and Facebook. Our proprietary Mobius AI and data analytics technology powers the ultimate performance for eCommerce brand-building and sales. With over $2 billion in digital media managed, we are proud to represent the most renowned brands like Converse, Nestle, Rite Aid, Advil, Etsy, Tommy Bahama — to just name a few. 

Our GROWTH is explosive! Tinuiti has more than doubled in the last 2 years, from 350 employees to over 800 today, and we are on pace to be over 1,000 by the end of 2021 with a 30% increase in revenue year-over-year. We are owned by our employees and New Mountain Capital, a $30B private equity/alternative investment firm.

 What makes us most proud are our employees and our people-first, award-winning CULTURE of cultivating happiness and UNITI (Unleash greatness, Never stop learning, Ignite your passion, Thankful living, Innovate & Inspire change).

 BUT DON’T JUST TAKE IT FROM US…

• Best Places to Work (Inc. 2021/2020, Glassdoor 2020, AdAge 2020/2019).
• Digiday Worklife Awards (Employer of the Year 2018, Top Boss 2020).
• Glassdoor: 4.6/5 stars (203 reviews), 82% recommend a friend, 94% approve of the CEO “Great work/life culture balance, competitive salary and benefits, and a big      emphasis on mental and emotional health for all employees.”

Job Description:

The Data Operations Analyst is responsible for managing and monitoring Tinuiti’s data supply chain, data quality assurance and cooperation with various internal and external stakeholders to deliver the best customer experience. This role will work cross functionally with Tinuiti’s enterprise clients, internal teams, and partners to drive data solutions that power advanced analytics use cases.

Responsibilities:

• Manage and optimize processes for data intake, validation and quality assurance.
• Ensure data requests are formally captured via standard data deliverables (source-to-target, control files, validation models) for ongoing data operations and maintenance
• Work with teams to ensure client data sources with a focus on reliability, resiliency, and quality
• Proactively manage and resolve open data related helpdesk tickets 
• Define and oversee goals to improve data operations rigor and discipline which drive our application
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and contractual requirements.
• Proactively seek opportunities to automate and improve processes.
• Participate in data and information model design across multiple operating units and research stakeholders

Requirements:

• BA/BS degree in Computer Science, Mathematics, related technical field or equivalent practical experience 
• Proficient with SQL
• Experience with Google BigQuery
• Experience with JIRA 
• Proven analytical, evaluative, and problem-solving abilities
• Extensive experience working in a team-oriented, collaborative environment
• Excellent understanding of data administration and management

Nice-to-haves:

• Experience with Python, R, Alteryx, Qlikview
• Experience with Confluence
• Experience working with relational databases, ETL/ELT tools, data conversion and data cleansing methods
• Experience building and maintaining strong relationships with external partners 
• Organized and time conscious
• Capable of working independently
• Excellent written and verbal communication skills
• An analytical mindset with strong problem-solving skills
• Eagerness to learn and think critically to design improved processes

Disclaimer: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. Tinuiti is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

FLSA Classification: Exempt

Working Conditions: Working indoors, sitting at a computer for extended periods of time, lifting no more than 10 pounds.

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