##### Job Description :
A forward-thinking company revolutionizing the UK property sector with
cutting-edge technology that supports landlords in maintaining and creating
high-yield, quality accommodations for tenants, is looking for a motivated
Junior Data Analyst to join their team. In your Role you will play a crucial
role in extracting, analyzing, and interpreting large datasets to provide
valuable insights and support informed decision-making. Your primary
responsibility will be to ensure the accuracy and reliability of data,
leveraging your keen eye for detail and meticulous approach to data
management.
#####
**Minimum Requirements:**
Bachelor's degree or Diploma in a relevant field (e.g.: Data Science,
Statistics, Computer Science, Mathematics) or equivalent work experience
Minimum 3 years of experience as a Data Analyst, with a proven track record of
handling complex datasets and delivering actionable insights.
Strong proficiency in data analysis, statistical modeling, and data
visualization using tools such as SQL, Python (NumPy, Pandas), and statistical
packages (e.g., R).
Expertise in data cleaning and preprocessing techniques, including handling
missing data, outliers, and data normalization.
Proficiency in scripting languages such as Python or R for automating data-
related tasks and web scraping.
Detail-oriented mindset with a strong focus on data accuracy and quality
assurance.
Experience with data visualization tools like Tableau, Power BI, or Python
libraries (Matplotlib, Seaborn) to create visually compelling reports and
dashboards.
Excellent problem-solving skills and the ability to translate complex data
analysis into actionable recommendations.
Strong communication and interpersonal skills to collaborate effectively with
cross-functional teams and present findings to both technical and non-
technical stakeholders.
Familiarity with data governance principles and best practices.
#####
**Duties and Responsibilities:**
Data Analysis: Perform in-depth analysis of complex datasets using statistical
methods and data visualization techniques to identify trends, patterns, and
correlations. Extract actionable insights from the data to support business
strategies and decision-making.
Data Validation: Develop and implement robust procedures to validate and
verify data integrity, ensuring accuracy and consistency. Identify and resolve
data quality issues promptly to maintain data reliability throughout various
systems and processes.
Data Cleaning and Transformation: Utilize your expertise in data cleansing
techniques to preprocess and transform raw data into a structured format.
Apply advanced data manipulation techniques to handle missing values,
outliers, and other data anomalies.
Scripting and Web Scraping: Utilize your experience in writing scripts and
utilizing web scraping tools to collect data from diverse sources on the
internet. Automate data retrieval processes to streamline data collection and
improve efficiency.
Reporting and Visualization: Prepare comprehensive reports and data
visualizations to effectively communicate analytical findings to stakeholders.
Create visually appealing dashboards and presentations using tools such as
Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to
facilitate data-driven decision-making.
Data Governance and Documentation: Collaborate with cross-functional teams to
establish data governance policies and best practices. Create and maintain
documentation regarding data sources, methodologies, and data definitions to
ensure transparency and consistency.
Collaborative Problem Solving: Work closely with stakeholders to understand
their data needs and provide analytical solutions to address their
requirements. Collaborate with data engineering and IT teams to optimize data
workflows and improve data infrastructure.
