63 Data Analysis jobs in Milton Keynes

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and maintenance of data dashboards and reports.
• Learn and apply statistical methods and data modeling techniques.
• Contribute to data-driven problem-solving initiatives across different departments.
• Collaborate with senior analysts to interpret data and generate actionable insights.
• Assist in documenting data sources, methodologies, and findings.
• Participate in training sessions and professional development activities.
• Communicate findings clearly and concisely to team members.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
• Strong analytical and critical thinking skills.
• Proficiency in Microsoft Excel.
• Familiarity with database concepts and SQL is a plus.
• Basic knowledge of programming languages like Python or R is advantageous.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiasm for learning and a proactive attitude towards challenges.

• Analyze satellite imagery, aerial photography, LiDAR data, and other remote sensing datasets to identify geological structures, mineral occurrences, and potential exploration targets.
• Develop and implement sophisticated geological models using specialized software, integrating data from various sources including geophysical surveys and geochemical analyses.
• Process and interpret geophysical data (e.g., magnetics, gravity, seismics) to refine exploration models.
• Conduct statistical analysis and data mining of geological datasets to uncover hidden patterns and correlations.
• Collaborate remotely with geologists, geophysicists, geochemists, and other domain experts to validate exploration targets.
• Prepare detailed technical reports, presentations, and data visualizations for management and project teams.
• Contribute to the development and refinement of exploration strategies and methodologies.
• Stay abreast of the latest advancements in remote sensing technologies, geological modeling software, and data analysis techniques relevant to mining exploration.
• Ensure data quality and integrity throughout all stages of analysis and modeling.
• Manage geological databases and maintain accurate project records.
• Advise on drill program design and target prioritization based on analytical findings.

• Master's degree or Ph.D. in Geological Engineering, Geophysics, Earth Science, or a closely related field.
• Minimum of 5 years of professional experience in geological exploration, with a strong emphasis on remote sensing data analysis and geological modeling.
• Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, Datamine) and GIS software (e.g., ArcGIS, QGIS).
• Expertise in processing and interpreting various remote sensing data types (e.g., multispectral, hyperspectral, radar, LiDAR).
• Strong skills in statistical analysis, data science, and programming languages (e.g., Python, R) are highly desirable.
• Experience with geophysical data processing and interpretation.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Proven ability to work independently and collaboratively within a distributed team environment.
• Strong written and verbal communication skills, with the ability to present complex technical information effectively.
• Familiarity with mineral deposit types and exploration techniques.
• A commitment to safety and sustainable resource development.

Data Analyst/BI Developer

• £500 Outside IR35
• 2 days a week on site Hemel Hempstead
• 3 month initial contract with chance to extend

We have an immediate contract with a well known UK brand who are looking for some immediate support on a project they are currently running.

Key Requirements:

• MDX/DAX experience for cube development
• OLAP cubes knowledge (Oracle/Microsoft, preferably cloud-based)
• PowerBI
• Good soft skills
• Help build cube outputs for data aggregation

Senior BusinessIntelligenceAnalyst / Data Manager

ExcellentopportunitywithinaprogressivecompanyforaSeniorAnalyst.

• Gatherandanalysebusinessrequirementsforreportinganddatainsightneeds,ensuringsolutionsaddrealvalue.
• ProvidesupportforusersofBItools,answeringqueriesandresolvingissues.
• Ensureeffectiveintegrationofdataacrosssystems,workingwithsubjectmatterexperts.
• MaintaincleardocumentationforBIsolutionsandprocesses.
• ContributetothemaintenanceandimprovementofthecentraldataplatformandBIecosystem.
• Supporttheimplementationofgooddatagovernancepracticesacrosstheorganisation.
• CoordinateorsupporttestingofBIdevelopmentsandchanges.
• MonitortheperformanceandavailabilityofBItoolsandensureservicestandardsaremet.

OpportunitiesintheRole:

• Shapethefutureoftheorganisation'sBIstrategyandroadmap.
• Influenceandimprovedata-drivendecision-makingacrossallbusinessareas.
• Buildstrongrelationshipsacrossdepartmentsandexternalpartners.
• Gainbroadexposuretobusinessoperationsanddevelopbothtechnicalandstrategicskills.
• Contributedirectlytotransformationprojectsthroughmeaningfulinsightandanalysis.

Skills&Experience:

• StrongexperiencewithBIandanalyticstools.
• Excellentanalyticalskillsandtheabilitytointerpretcomplexdataneeds.
• AdvancedExcelskills(egpivottables,formulas,datamanipulation).
• ProvenabilitytotranslatebusinessrequirementsintoBIsolutions.
• Goodunderstandingofdatawarehousing,ETL,anddatamodelling.
• Strongknowledgeofdataquality,governance,andmanagement.
• ProficiencywithSQLandcloud-baseddatabases.
• Effectivecommunicatorforbothtechnicalandnon-technicalaudiences.
• ExperiencedocumentingBIsolutions,includingdatadictionariesandmetadata.
• Hands-onexperiencewithQlikSenseandNPrinting.
• UnderstandingofMasterDataManagement(MDM).
• ExposuretootherBItools(egPowerBI,Tableau).
• BasicScriptingskills(egPython)
• YOUMUSTpossessexcellentcommunicationskills,belocaltoMiltonKeynesandbeeligibletoworkintheUK

• Minimum of 5 GCSEs or equivalent, including Maths and English (Grades A-C or 9-4).
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Proficiency in basic IT skills and a willingness to learn new software.
• Enthusiasm for data and technology.
• Ability to work effectively both independently and as part of a team.
• Must be eligible to work in the UK and commit to the apprenticeship duration.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform exploratory data analysis to uncover patterns, correlations, and anomalies.
• Develop and maintain reports and dashboards to visualize key performance indicators (KPIs) and trends.
• Support the development of data models and analytical solutions.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Contribute to the ongoing improvement of data collection and analysis processes.
• Ensure data accuracy, integrity, and security across all projects.
• Present findings and insights to team members and management in a clear and concise manner.
• Stay updated with the latest trends and technologies in data analysis and business intelligence.

• A recent graduate with a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in data manipulation and analysis tools such as SQL, Python (Pandas, NumPy), or R.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• A proactive and eager-to-learn attitude, with a strong desire to develop a career in data analytics.
• Ability to work independently and as part of a team in a fast-paced environment.
• Knowledge of statistical concepts and methodologies is a plus.
• Experience with Excel or Google Sheets for data analysis and reporting.

• Assist in the collection and organisation of data from various sources.
• Clean and preprocess datasets to ensure accuracy and consistency.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the creation of reports and dashboards using data visualisation tools (e.g., Tableau, Power BI).
• Learn to use SQL for data querying and manipulation.
• Gain practical experience with statistical analysis techniques.
• Collaborate with team members on data-related projects.
• Help in documenting data processes and findings.
• Complete assigned online courses and training modules towards your Data Analyst qualification.
• Develop a strong understanding of data ethics and best practices.

• A strong passion for data and numbers, with a desire to learn.
• Basic understanding of mathematics and statistics.
• Good problem-solving skills and attention to detail.
• Excellent communication skills and the ability to explain technical concepts clearly.
• Proficiency in using computers and a willingness to learn new software.
• Ability to manage your time effectively and work autonomously in a remote setting.
• Must be eligible to undertake an apprenticeship program.
• A-levels or equivalent qualification in a relevant field (e.g., Maths, Computer Science, Economics) are beneficial.
• Any prior exposure to programming languages like Python or R is a plus.

• Assist in the collection and extraction of data from various sources, ensuring accuracy and completeness.
• Perform data cleaning and transformation to prepare datasets for analysis.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement reports and dashboards to visualise key performance indicators (KPIs).
• Support senior analysts in developing predictive models and statistical analyses.
• Communicate findings and insights clearly and concisely to both technical and non-technical stakeholders.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Maintain documentation of data sources, methodologies, and findings.
• Stay updated with the latest trends and technologies in data analytics.
• Contribute to the continuous improvement of data analysis processes and tools.

• A recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in data manipulation and analysis tools such as Excel, SQL, Python, or R.
• Familiarity with data visualisation tools like Tableau or Power BI is a plus.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to explain complex data concepts simply.
• Ability to work independently and as part of a team.
• A proactive and eager-to-learn attitude.
• Understanding of data privacy regulations is advantageous.
• Previous internship or project experience in data analysis is highly desirable.

• Assist in the collection and cleaning of data from various sources.
• Perform data analysis using statistical methods and data visualization tools.
• Identify patterns, trends, and correlations within datasets.
• Prepare reports and presentations summarizing analytical findings.
• Collaborate with team members to understand business requirements and translate them into analytical tasks.
• Support the development and maintenance of databases and data systems.
• Contribute to the validation and verification of data integrity.
• Learn and apply various data analysis techniques and tools.
• Participate in team meetings and brainstorming sessions.
• Assist in the documentation of data processes and methodologies.

• A recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is essential.
• Familiarity with programming languages like Python or R is a plus.
• Basic understanding of database concepts and SQL is advantageous.
• Excellent attention to detail and accuracy.
• Good communication and teamwork skills.
• Eagerness to learn and develop new skills in data analysis.
• Ability to work effectively both independently and as part of a team in a hybrid setting.
• Must be eligible to work in the UK.