Data Operations Specialist

As a Data Operations Specialist at Thoughtworks, your main responsibilities include establishing rigorous data accuracy standards for customer and account records, ensuring that campaign data is accurately captured, and proactively identifying data inaccuracies. You will also manage the data enrichment framework and lead-to-account matching and routing processes, in collaboration with the GTM tech team. Establishing and maintaining the Master Data Management (MDM) system is key, along with developing processes for data cleansing and maintenance.

To excel as a Data Operations Specialist at Thoughtworks, you should have proven experience in data operations, particularly focusing on customer, account, and campaign data. A strong understanding of data hygiene and integrity principles, along with experience using digital tools such as Salesforce CRM and data enrichment tools like ZoomInfo, is crucial. Excellent attention to detail, analytical skills, and a collaborative mindset are also vital.

At Thoughtworks, career growth is highly encouraged, and there is no one-size-fits-all path. The company offers numerous development programs, interactive tools, and support from teammates to help you grow. As a Data Operations Specialist, you will have the autonomy to shape your career while being part of a cultivation culture that values continuous learning and collaboration.

Essential technical skills for a Data Operations Specialist at Thoughtworks include a strong focus on customer, account, and campaign data operations. You should possess strong analytical and problem-solving abilities, particularly in data validation. Familiarity with tools like LeanData for lead-to-account matching, as well as data enrichment tools, will enhance your ability to improve data quality across multiple datasets.

Thoughtworks cultivates a dynamic and inclusive work environment where collaboration and support are at the forefront. As a Data Operations Specialist, you would be joining a community of bright colleagues committed to revolutionizing technology and solving complex business problems. The culture promotes continuous learning and offers opportunities to engage with various functional teams, ensuring that you can thrive personally and professionally.

In responding to this question, ensure that you cite specific examples of your background in data operations. Discuss methods you’ve used to maintain data integrity, including any frameworks or tools you've implemented for data validation and cleansing.

When answering this question, highlight your understanding of MDM principles and provide examples of any previous implementations. Explain how a strong MDM framework contributes to maintaining data consistency across an organization.

Provide a holistic view of your approach to data cleansing. Talk about the tools you’ve used and methodologies you’ve employed to identify inaccuracies and suggest improvements. Be specific about processes you’ve developed or streamlined.

Refer to specific tools you've used, such as Salesforce CRM, ZoomInfo, or LeanData, and describe your proficiency level. Illustrate how you’ve used these tools to manage data effectively and improve operational efficiency.

Share a specific instance where you encountered significant data challenges and the steps you took to resolve them. Focus on the measures you implemented to ensure data accuracy and completeness post-resolution.

Discuss your time management strategies and how you prioritize tasks based on urgency and importance. Mention any tools or systems you use to keep track of your daily responsibilities.

Provide insights into any past experiences you have had with lead-to-account matching and routing systems. Discuss the importance of accurate matching and how it positively impacts the sales process.

Highlight your communication strategies and tools you use to communicate data updates effectively. This could include creating reports, maintaining dashboards, or holding team meetings for discussions.

Describe how you collaborate with cross-functional teams to align data management initiatives with business goals. Offer examples of successful projects where your collaborative efforts led to data improvements.

Mention resources you follow, such as industry publications, webinars, or professional groups, that keep you informed about data management advancements. Emphasize your commitment to continuous learning in the data field.