Data Ops Specialist
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Job description
Description
Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale.
We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve.
We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter.
We’re a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every test, every brand decision happens in-house - which means your work moves the needle directly and visibly. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here.
We are looking for a Remote Data Operation Specialist to join our team. The ideal candidate will possess strong abilities in order and organization, with a keen attention to detail. This is an excellent opportunity to contribute to our organization's data management and ensure accuracy and efficiency.
What does the day-to-day look like in this role?
The day-to-day in this role combines operational and analytical work around data and campaigns.
As part of the role, you will work closely with Campaign Managers, pull data from various systems, create daily and weekly Excel reports, perform data checks and cross-referencing within large datasets, and ensure that the data is accurate, accessible, and clearly presented to support decision-making.
In addition, the role includes presenting data to Campaign Managers and Team Leads in the Media Department, as well as identifying anomalies or gaps in the data. This role is a great fit for someone who enjoys working with numbers, Excel, and data, pays strong attention to detail, stays organized and accurate, and can respond quickly to needs that come up in the day-to-day work.
Requirements
- At least 3 years of experience in data entry and data operations within the online marketing industry.
- Familiarity with digital advertising platforms (e.g., Google Ads and Meta/Facebook) and common campaign metrics such as Spend, CPC, CTR, and CPA
- Strong organizational and time-management skills, with the ability to prioritize tasks effectively in a fast-paced environment.
- Exceptional attention to detail and commitment to data accuracy and quality.
- Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving data-related issues.
- Ability to work independently, manage multiple priorities, and meet deadlines consistently.
- Excellent English communication skills, both written and verbal.
- Technical survey: Strong computer proficiency, including advanced working knowledge of Microsoft Office applications, particularly Excel.
- Familiarity with AI-powered tools and the ability to leverage them to improve productivity and efficiency
- Bachelor's degree in an analytical field.
Responsibilities
- Enter and maintain accurate data into our systems with a high level of precision and attention to detail.
- Organize and sort incoming data, ensuring it is categorized correctly for easy retrieval.
- Conduct regular data quality checks to identify and correct any errors or inconsistencies.
- Assist in data analysis and reporting, generating reports and summaries as required.
- Collaborate with team members to ensure data integrity and resolve any data-related issues.
- Maintain confidentiality and comply with data security policies.
Originally posted on Himalayas
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