Data Analyst
Unlock the potential of your data into valuable insights to drive smarter decisions, greater efficiency, and accelerated growth. Our analysts specialise in interpreting complex data, generating reports, and building visualisations that provide a deeper understanding of your customers and markets. We help you optimise operations and adapt strategies to secure long term profitability.
About This Role
Our experienced data analysts partner with your business teams to transform complex datasets into actionable strategic insights. Through rigorous analytical techniques, they empower your organisation with the clarity needed for confident, data driven decision making. We integrate analysis throughout your entire business lifecycle, embedding insights into every strategic phase rather than treating data as an afterthought. This data centric approach directly enhances productivity, accelerates processes, and optimises operational efficiency.
By reducing operational costs, enhancing performance, and minimising strategic risk, we deliver a decisive competitive advantage, moving beyond standard reporting to proactive intelligence. Our analysts specialise in data mining, statistical analysis, data visualisation, and predictive modelling to create truly data driven organisations. Whether launching new products or optimising existing operations, our professionals leverage cutting edge tools and methodologies to deliver efficient, cost-effective solutions. With deep cross domain expertise, we ensure accurate, relevant analysis that drives informed decisions and sustains business growth.
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Skill Set
Technical Skills
- Data Manipulation: Proficient in SQL, Python with libraries such as Pandas, NumPy.
- Data Visualisation: Ability to create compelling visualisations using tools like Tableau, Power BI, and Python libraries Matplotlib, Seaborn.
- Statistical Analysis: Strong analytical skills using statistical methods and Python with libraries such as NumPy, Pandas, R, and Excel to draw meaningful insights.
- Data Modeling: Ability to structure data for analysis e.g. data warehousing, data marts.
- Data Mining: Adept at extracting valuable information from large datasets.
Experience
- Data analysis projects: Demonstrating practical experience in data driven problem solving.
- Industry knowledge: Understanding data from various domains e.g. Finance, marketing, healthcare.
- Data visualisation and storytelling: Creating impactful visualisations and narratives.
- Data cleaning and preparation: Experience handling messy and incomplete data.
- Business intelligence tools: Proficient in using BI tools for data exploration and reporting.
Key Deliverables
Data Collection and Preparation
- Data Gathering: Collecting data from various sources databases, spreadsheets, APIs.
- Data Cleaning: Ensuring data accuracy, consistency, and completeness.
Data Exploration and Analysis
- Exploratory Data Analysis: Discovering patterns, trends, and anomalies within data.
- Statistical Analysis: Applying statistical methods to extract meaningful insights.
Data Visualisation
- Data Visualisation: Creating visual representations of data charts, graphs, dashboards.
- Storytelling: Communicating data insights effectively through visualisations.
Reporting and Insights
- Data Reports: Generating regular and ad hoc reports.
- Key Performance Indicators: Developing and tracking KPIs.
- Data driven Recommendations: Providing actionable insights based on data analysis.
Data Governance and Collaboration
- Data Documentation: Documenting data sources, definitions, and processes.