Remote Data Analyst

Remote Data Analyst
Colaval
Job Overview
Colaval, a leading global manufacturer of high-quality control valves and water treatment solutions, is seeking a diligent and analytical Remote Data Analyst to join our team on a full-time basis. Based remotely within the United States, the successful candidate will play a crucial role in transforming data into actionable insights that will drive our business forward. You will support our commitment to providing professional technical knowledge and effective solutions by analysing complex datasets related to our industrial, commercial, and residential sectors. This is an excellent opportunity for a data-driven individual to contribute to a company focused on innovation and sustainable development.
Responsibilities
As a Data Analyst, you will be responsible for:

• Collecting, interpreting, and analysing data from various sources, including sales, manufacturing, and supply chain systems.
• Developing and implementing data analyses, data collection systems, and other strategies that optimise statistical efficiency and quality.
• Identifying, analysing, and interpreting trends or patterns in complex data sets to provide clear business insights.
• Creating and maintaining dashboards and reports to communicate key business metrics and findings to stakeholders.
• Collaborating with management and various departments to identify and prioritise business and information needs.
• Providing data-driven recommendations to improve operational efficiency and support strategic decision-making.
• Ensuring data accuracy and integrity across all reporting platforms.

Qualifications
The ideal candidate will possess the following:

• Proven experience working as a Data Analyst or Business Data Analyst.
• Strong technical expertise regarding data models, database design, data mining, and segmentation techniques.
• Proficiency in SQL and a strong knowledge of reporting and data visualisation tools such as Power BI or Tableau.
• Excellent knowledge of statistics and experience using statistical packages for analysing datasets (e.g., Excel, SPSS, SAS).
• A degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
• Exceptional analytical and problem-solving skills with a high level of attention to detail.
• Strong written and verbal communication skills, with the ability to present complex information clearly and concisely.
• Experience within the manufacturing or industrial sector would be highly advantageous.

Benefits
What We Offer:

• A competitive annual salary of $45 - $55 USD.
• A fully remote working arrangement, providing flexibility and work-life balance.
• The opportunity to be part of an innovative, global company with a focus on sustainability.
• A collaborative and supportive team environment.
• Opportunities for professional growth and development.