Business Operations Technician

STRATOS Technologies Ltd.; Greater London; Hybrid; Confidential; Part time

Job summary

A data-driven technology firm in Greater London seeks a detail-oriented Business Operations Technician. This role involves managing and preparing datasets, ingestion into Palantir Foundry, and ensuring data quality. The ideal candidate will have strong Excel skills, attention to detail, and a collaborative mindset. This contractor position offers 20-30 hours per week with mandatory hours on Mondays, allowing for flexible scheduling based on project needs.

Benefits

Learning opportunities in a tech environment

Flexible scheduling

Qualifications

• Strong proficiency in Excel including data cleaning and pivot tables.
• Exceptional attention to detail and problem-solving skills.
• Ability to work independently in a fast-paced startup environment.

Responsibilities

• Manage, clean, and prepare external datasets.
• Ingest datasets into Palantir Foundry.
• Perform manual deduplication of client records.

Skills

Excel proficiency

Attention to detail

Analytical mindset

Problem-solving

Communication skills

Tools

Palantir Foundry

SQL

Job description

At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights.

Founded by former senior executives, funded by high-profile investors (e.g., Accel), and trusted by multiple Fortune 500 customers, we are now expanding our team to accelerate our growth even further.

We are looking for a detail-oriented Business Operations Technician to join our growing team. In this role, you will play a critical part in preparing and maintaining the high-quality datasets that power our platform. You will work hands‑on with external data sources, ensure clean and accurate data ingestion into Palantir Foundry, and support deduplication and matching processes for client datasets.

This role is ideal for someone who is excited to deepen their experience in data operations, enjoys solving complex data challenges, and wants to contribute meaningfully to STRATOS’ operational excellence.

Tasks

Data Exchange & Ingestion

• Manage, clean, and prepare external datasets received from customer systems and third‑party databases.
• Ingest curated datasets into Palantir Foundry, ensuring alignment with internal data models and quality requirements.
• Monitor ingestion errors and collaborate with internal teams to proactively resolve data issues.

Deduplication & Data Quality Management

• Perform manual deduplication of client records by matching external data against CRM and internal datasets.
• Identify duplicates, conflicts, and anomalies with a high level of accuracy.
• Maintain quality standards to ensure the integrity and reliability of our clients’ operational data.

General Data Operations Support

• Execute ad‑hoc data tasks, including mapping, formatting, validation, and data hygiene work.
• Support ongoing improvement of internal data processes by documenting workflows and identifying optimization opportunities.
• Collaborate with Product, Engineering, and Customer teams to ensure that data workflows run smoothly.

Requirements

Required Skills and Qualifications

• Strong proficiency in Excel (e.g., VLOOKUP/XLOOKUP, pivot tables, data cleaning).
• Exceptional attention to detail and the ability to catch inconsistencies in large datasets.
• A structured, analytical, and problem‑solving mindset.
• Ability to work independently and thrive in a fast‑moving startup environment.
• Excellent communication skills and comfort collaborating across teams.

Preferred Qualifications

• Basic knowledge of SQL and relational databases.
• Prior experience working with data platforms (e.g., Palantir Foundry, Snowflake, BigQuery).
• Experience in data operations, data entry, or business operations roles.

Benefits

What We Offer

• Work alongside a team of former top‑tier consultants and Fortune 500 executives.
• A steep but rewarding learning curve in a data‑driven tech environment.
• This is a contractor position requiring approximately 20–30 hours per week, depending on workload and project needs.
• Mon­days are mandatory with a guaranteed minimum of 5 working hours.
• Remaining weekly hours can be scheduled flexibly in coordination with the team.
• Occasional increases in workload may occur during peak project periods, with prior notice.