At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe. To learn more about our purpose, culture, and priorities, visit our strategy site.
Within our consult business, we harness our unique combination of leading-edge practical expertise and project delivery consultancy to unlock the potential in every project.
Our values shape the way we consult and define the people we want to join us on our journey, they are:
Safety First - Going Home Safe And Well
Client Focus - Deliver On Our Promise
Integrity - Always Do The Right Thing
Create Opportunity - For Our People To Excel
We are seeking an experienced Data Analyst to join our team. The Data Analyst will play a vital role in data management, analysis, insights, and power app automation. The successful candidate will assist the Data Science Manager in tasks related to data transformation, data analytics, Dataflow, and Microsoft Fabric. The data analyst will have the opportunity to work on data engineering tasks with focus on extract, transform, and load (ETL) processes using Python, T-SQL and Power BI Query.
You'll Be Responsible For:
Implementing and leveraging Power Automate to automate processes and ensure proper data management practices by automating workflows.
Collaborating with the team in various data management tasks, including data cleansing, transformation, modeling, and analytics.
Assisting in maintaining data catalog, business glossaries, and data dictionaries to ensure data consistency, integrity, and standardization.
Supporting the development and maintenance of data engineering metrics dashboards and data mobilization dashboards to monitor data performance effectively.
Utilizing Python, DAX, PowerBi, and T-SQL proficiently to conduct data analysis and derive meaningful insights.
Collaborating with cross-functional teams to perform data analytics tasks and provide valuable insights for data-driven decision-making.
Creating and develop script to manage ETL pipelines using Python and Power BI to efficiently collect and process data from various sources.
Working with Data Science Manager on addressing existing data debts within the current systems to improve data accuracy and reliability.
Participating in the creation of insightful Data About Data visualizations using Power BI, enabling an understanding of as-is, to-be, and in-progress data assets.
Creating content and conduct training sessions for various teams and communicate effectively with different users and provide support in order to transform the program into self-analytics ecosystem.
Providing technical support and assure data governance by managing access security and apply row level security.
You’ll Need To Have:
Bachelor's (with at least 3-4 years’ experience) or master’s degree with (with at least 1-2 years’ experience) in data related domain, computer science, statistics, or a related field.
Proven experience as a Data Analyst, with a strong background in data management, analysis, and visualization.
Proficiency in Python, DAX, PowerBi, and T-SQL, showcasing the ability to handle complex data-related tasks.
In-depth knowledge of data cataloging, business glossaries, and data dictionaries, ensuring data accuracy and adherence to best practices.
Strong problem-solving skills and keen attention to detail, ensuring accurate and actionable data insights.
Excellent communication and interpersonal skills, enabling effective collaboration with team members and stakeholders.
Strong team spirit and a positive attitude, fostering a collaborative and supportive work environment.
Strong knowledge of data structures and data modeling concepts.
Familiarity with ETL processes and tools, with proficiency in Python and Power BI being advantageous.
Detail-oriented and highly organized, with a keen eye for data accuracy and quality.
Strong problem-solving and analytical skills.
Self-motivated and eager to learn about data engineering and data science practices.
Excellent communication and teamwork abilities.
Puts team success above own interests.
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all of the criteria, please apply as you may still be the best candidate for this role or another role within our organization.
We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.
LI-On-site
