Data Analyst (SQL)
Do you want to join a collaborative and award winning business which is transforming governance through cutting-edge technology?
At Kuberno, we are at the forefront of transforming corporate governance and compliance through pioneering Governance Tech solutions. Our mission is to empower Company Secretaries and governance professionals, revolutionizing the way they operate. Backed by recent Series A funding from Nasdaq, we are rapidly expanding and seeking dynamic individuals to join our team.
About the job:
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.
Responsabilities:
- 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.
