Success in the Harnham recruitment process requires a balanced preparation strategy. You must demonstrate that you are not only technically proficient but also highly collaborative and business-minded.

Role-Related Knowledge – You must show a deep, practical command of SQL and visualization platforms like Power BI. Be ready to discuss your specific technical choices, such as database normalization, indexing, or dashboard layout decisions.

Problem-Solving Ability – Interviewers want to see how you structure ambiguous problems. When presented with a business scenario, break down your approach step-by-step, starting with the business objective, moving to data collection, and ending with measurable outcomes.

Stakeholder Communication – A key differentiator is your ability to bridge the gap between technical data and business strategy. Practice explaining complex analytical concepts using simple, non-jargon language that emphasizes commercial value.

Cultural Alignment – Show that you are proactive, curious, and comfortable with collaborative practices like code reviews, pair programming, and documentation. Clients value candidates who are eager to learn and help others grow.

The interview process managed by Harnham is highly structured but can vary slightly depending on the specific client company you are interviewing with. Generally, the process is designed to move quickly, evaluating your technical capabilities, communication style, and cultural fit over several distinct stages.

The journey begins with an initial screening call with a Harnham recruitment consultant. This conversation focuses on your background, your technical experience, and your alignment with the target role's core responsibilities. Following a successful screen, your profile is presented to the hiring organization. The client-side process typically involves a technical assessment—such as a live SQL test, a take-home dashboard build, or a technical case study—followed by one or two rounds of interviews with the hiring manager and key cross-functional stakeholders.

Throughout this process, the emphasis is on practical, real-world application rather than theoretical knowledge. Client companies are looking for analysts who can hit the ground running, collaborate effectively with existing data engineering and product teams, and immediately begin contributing to business decisions.

The timeline above outlines the typical progression from your initial application to the final offer. Most candidates complete this entire sequence within three to four weeks, depending on client availability and the complexity of the technical assessment. Use this timeline to pace your preparation, ensuring you are fully prepared for the technical deep dives well before your second-round interviews.

To excel in the interviews, you must understand exactly how you will be evaluated across the core technical and strategic disciplines.

SQL & Relational Databases

Your database skills are the foundation of your daily work as a Data Analyst. Interviewers will assess your ability to write clean, efficient, and maintainable queries to extract insights from complex, multi-source datasets.

Be ready to go over:

• Query Optimization – Understanding query execution plans, the impact of joins on large tables, and how to use indexes effectively.
• Data Aggregation – Mastery of grouping functions, filtering aggregated data using HAVING, and utilizing window functions (ROW_NUMBER, RANK, LEAD, LAG).
• Data Quality and Cleansing – Handling missing data, duplicate records, and inconsistent formatting using string and date manipulation functions.
• Advanced Concepts – CTEs, subqueries, set operators, and writing performant conditional logic using CASE WHEN statements.

Example scenarios:

• "You are given two large tables: one containing customer transactions and another containing marketing campaign touchpoints. Write a query to identify which campaign was the last touchpoint for each purchasing customer."
• "Explain how you would write a query to identify duplicate customer profiles created on the same day with minor variations in email addresses."

Business Intelligence & Dashboard Design

Building dashboards is about more than just dragging and dropping visuals; it is about creating an intuitive, self-service user experience that guides stakeholders to the right decisions.

Be ready to go over:

• UX/UI Principles – Designing clean layouts, using consistent color palettes that draw attention to key metrics, and avoiding dashboard clutter.
• Data Modeling – Creating efficient star schemas, managing relationships between tables, and understanding the difference between calculated columns and measures.
• DAX Calculations – Writing basic to intermediate DAX expressions for time intelligence, filtering, and custom aggregations in Power BI.
• User Adoption – Strategies for training non-technical business users to navigate dashboards and build self-sufficiency.

Example scenarios:

• "Walk me through how you would design a performance dashboard for a retail store manager who only has five minutes a day to look at the data."
• "How would you handle a situation where a stakeholder insists on seeing a table with fifty columns on a dashboard instead of summarized visual charts?"

Commercial Acumen & Case Studies

Clients look for analysts who understand the business context behind the numbers. You must demonstrate that you can connect data patterns to financial performance, customer behavior, and operational strategies.

Be ready to go over:

• Key Performance Indicators (KPIs) – Deep understanding of metrics relevant to the industry, such as Customer Lifetime Value (CLV), Churn Rate, Unit Economics, and Recovery Rates.
• Strategic Problem Solving – Breaking down complex commercial challenges, such as optimizing credit risk policies or collections journeys.
• Cross-Functional Collaboration – How you partner with product, engineering, finance, and marketing teams to turn your insights into concrete business actions.

Example scenarios:

• "Our collections team is seeing a rise in overdue accounts. How would you analyze our customer data to segment these accounts and recommend a targeted recovery strategy?"
• "If our luxury retail client wants to launch a new loyalty program, what historical customer data would you analyze to help them structure the program's tiers?"

As a Data Analyst working with a Harnham client, your daily activities will center around turning complex datasets into practical, high-impact business insights. You will spend a significant portion of your time partnering with stakeholders across operations, marketing, finance, and product to understand their data needs and translate them into technical requirements.

On the technical side, you will write robust, performant SQL queries to extract, clean, and prepare data from multi-source databases. You will own the development of self-service Power BI dashboards, ensuring they are visually clear, easy to navigate, and aligned with the strategic goals of the business. This includes writing clean DAX measures and establishing solid data modeling practices.

Collaboration is a core component of this role. You will work side-by-side with senior analysts and data engineers to maintain data accuracy, conduct code reviews, and document your analytical processes. Additionally, you will play an active role in driving data literacy across the organization by delivering training sessions and helping non-technical teams feel confident using self-service reporting tools.

While specific requirements vary by client, successful candidates typically present a strong combination of technical expertise, academic foundation, and commercial experience.

• Technical Skills – Strong proficiency in SQL (including joins, aggregations, CTEs, and window functions) and demonstrable experience building intuitive dashboards in Power BI or similar BI tools.
• Experience Level – Typically 1-2 years of commercial analytical experience for mid-level roles, or 5+ years of strategic leadership experience for Senior Analytics Manager positions.
• Academic Background – A degree in a highly quantitative subject (such as Mathematics, Statistics, Computer Science, Engineering, or Physics) is highly beneficial.
• Soft Skills – Confident communication skills, a structured approach to problem-solving, meticulous attention to detail, and a proactive, collaborative mindset.

Nice-to-have qualifications:

• Prior experience working in relevant sectors such as Fintech, credit risk, green technology, or luxury B2C retail.
• Familiarity with version control systems (such as Git), data warehouse technologies (like Snowflake or BigQuery), or programming languages like Python or R.
• Experience working in collaborative environments that utilize pair programming, structured testing, and code reviews.

Q: How long does the recruitment process typically take? A: The entire process, from your initial conversation with a Harnham recruiter to a final offer from the client, usually takes between three and four weeks. This timeline is heavily dependent on how quickly you complete the technical assessments and client availability.

Q: What is the typical working setup for these roles? A: Most of the positions represented by Harnham in the London area operate on a hybrid model, typically requiring three days a week in the London office and two days remote. This hybrid cadence supports both focused individual work and collaborative team sessions.

Q: How technical is the interview process? A: The process is highly technical but balanced. You should expect a practical assessment of your SQL capabilities and your dashboard design logic. However, client companies place equal value on your ability to explain your technical decisions and translate data into commercial strategies.

Q: What is the best way to stand out during the technical assessment? A: Focus on the "why" behind your code and design. When writing SQL, write clean, documented queries. When building a dashboard, focus on user experience, clear navigation, and highlighting actionable insights rather than just displaying raw data points.

To maximize your chances of securing an offer, keep these practical, insider tips in mind throughout your preparation and interview stages.

• Over-communicate your methodology: During live technical assessments, talk through your thought process out loud. Interviewers care as much about how you approach a problem and handle errors as they do about your final syntax.
• Focus on the business impact: Whenever you discuss a project from your past experience, structure your answer using the STAR method (Situation, Task, Action, Result). Explicitly state the commercial or operational impact your analysis had on the business.

• Prepare thoughtful questions: Use the end of your interviews to ask deep, insightful questions about the company's data infrastructure, their upcoming strategic initiatives, and how they measure the success of their analytics function.
• Demonstrate a collaborative mindset: Emphasize your experience with code reviews, documentation, and supporting non-technical stakeholders. Show that you are a team player who is committed to raising the overall data literacy of the organization.

Securing a Data Analyst position through Harnham is an exceptional opportunity to accelerate your career in data and analytics. Whether you join a fast-scaling green technology business or a global luxury consumer brand, you will play a pivotal role in shaping how modern organizations understand performance, optimize operations, and drive commercial success.

As you prepare for your interviews, focus on mastering the core technical execution of SQL and Power BI, while refining your ability to communicate complex insights clearly to diverse stakeholders. Approach every conversation with curiosity, structural rigor, and a clear focus on the business value of your work.

The salary data above highlights the competitive compensation packages available for analytical talent in the London market, reflecting the high value organizations place on data-driven decision-making. With focused preparation and a confident showcase of your technical and strategic skills, you are well-positioned to succeed. For additional resources, company-specific guides, and interview practice tools, explore the insights available on Dataford to finalize your preparation.