Data Analyst SQL

Job Title: Data Analyst (SQL)

Company Overview

Kube is Kuberno’s unique entity governance platform. It provides a definitive source of entity data and automates entity governance across businesses. (An limited company is just one type of “entity” … just in case you were wondering! But don’t worry if you didn’t know that – we love sharing our knowledge and experience of governance and can get you up to speed in no time!).

As an established disruptor to the market our customer base is growing, and we are looking for a Customer Onboarding Lead to join the team at a very exciting stage in our journey.

Kube has been built around Kuberno’s customers. Our onboarding team support our new customers with bringing their corporate data into Kube and come equipped with a deep knowledge of Kube and a design-thinking approach employing empathy and creative problem-solving.

We don’t have a check list of skills or experience for this role. We are looking for teamwork, aptitude, and attitude, but you will be expected to hit the ground running in a fast-paced environment. Being a self-starter, highly motivated and wanting to be part of the team culture is key.

Job Overview

As a Data Analyst (SQL), you will be responsible for collecting, analyzing, and interpreting complex data sets to uncover insights and improve business decision-making across various departments. Your expertise in SQL will be critical as you manipulate and query large amounts of data, ensuring accuracy, consistency, and reliability.

Responsibilities

• Develop and maintain SQL databases, tables, and queries to effectively collect, clean, and organize large datasets from various sources.
• Leverage SQL to extract, transform, and load data into usable formats for analysis and reporting.
• Perform exploratory data analysis to identify trends, patterns, and anomalies using a combination of statistical techniques and business understanding.
• Create and maintain data visualizations, reports, and dashboards to effectively communicate findings to stakeholders and support data-driven decision-making.
• Collaborate with cross-functional teams to understand their data needs and provide insights to drive performance improvements.
• Identify opportunities for process optimization, data quality improvements, and automation of data-related tasks.
• Stay up-to-date with industry trends and new data analysis techniques, recommending and implementing relevant tools and methodologies as needed.
  
  

Requirements

• Prior professional experience as a Data Analyst, preferably with a focus on SQL.
• Strong proficiency in SQL queries and database design, including experience with complex joins, subqueries, and stored procedures.
• Proficiency in data visualization tools (e.g., Tableau, Power BI) to create compelling reports and dashboards.
• Solid understanding of statistical concepts and experience with statistical tools (e.g., Python, R) is a plus.
• Familiarity with data warehousing concepts, data modeling, and ETL processes.
• Strong problem-solving skills and attention to detail, with the ability to work independently and within a team.
• Excellent communication skills to effectively present complex findings to both technical and non-technical stakeholders.
  
  

Location:

The role will primarily be home-based, but you should be willing and able to travel to London for a day on a monthly basis for team meetings. You may also be required to travel to customer sites for face-to-face meetings. These would typically be ad-hoc and set up at the request of the customer.

Still Holding Back?

Confidence can sometimes hold us back from applying for a job. But we will let you into a secret: There’s no such thing as a “perfect” candidate! Kuberno is a place where everyone can grow. So however you identify and whatever your background, please apply if this is a role that would make you excited to be at work every day.