DATA CONSULTANT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 3, 2024 - The Data Consultant adeptly applies mining method knowledge to analyze and report on data use, mastering MineRP and other spatial analysis tools like SpatialDB and Spatial Dash. Fosters strong interdisciplinary communication, enhancing integration across various mining software systems including Deswik, SAP, and Datamine, and leverages extensive expertise in Power BI and Analysis Services. Understands business and mine planning processes deeply, ensuring effective IT solutions are integrated seamlessly within the mining industry’s complex landscape.

Essential Hard and Soft Skills for a Standout Data Consultant Resume
  • Data Analysis
  • Statistical Programming
  • Database Management
  • Business Intelligence Tools
  • Data Visualization
  • SQL Expertise
  • Machine Learning
  • Big Data Handling
  • Cloud Computing
  • Data Warehousing
  • Problem-Solving
  • Effective Communication
  • Critical Thinking
  • Project Management
  • Adaptability
  • Client Relationship Management
  • Teamwork
  • Negotiation
  • Strategic Planning
  • Active Listening

Summary of Data Consultant Knowledge and Qualifications on Resume

1. BA in Data Science with 4 Years of Experience

  • Ability to understand mining data and applying mining method knowledge to reports on how it will be used.
  • Ability to learn spatial concepts and spatial analysis eg MineRP SpatialDB, Spatial Dash, and SpatialAnalyzer.
  • Ability to understand the integration and relationship between the MineRP solution and other company software, enterprise and control systems such as Deswik, SAP and Datamine.
  • Strong communication skills to work across departments, disciplines and levels of management.
  • An in-depth understanding of Power BI and Analysis services.
  • An extensive understanding of business planning, mine planning and general mine processes & workflows for application integration.
  • Understanding of enterprise problems and solutions utilized in the mining industry.
  • Information Technology:
  • Have adequate knowledge regarding the software used by the client and domain landscape and how integration thereof would take place.
  • Understand the client company's mining data and data flow structures.
  • Have background knowledge of data warehouses, data marts, Extract, Translate and Load processes (ETLs), data management, metadata registries, express ETL's, database replication processes etc.
  • Have a good understanding of GIS and Spatial data concepts.
  • Experience working with spatial data within the mining industry.

2. BA in Statistics with 3 Years of Experience

  • Strong problem-solving abilities.
  • Strong analytical abilities.
  • Ability to conduct sophisticated and systematic analyses of Mining data.
  • Ability to translate, transform, and manipulate spatial data with a good knowledge of Spatial SQL functions.
  • Experience with Transactional and master data management.
  • Ability to blend math algorithms, in order to integrate system data to answer business questions and solve business problems.
  • Ability to configure and maintain visualization tools such as AutoCAD and Autodesk recap in 2D and 3D.
  • Strong SQL skills (MS SQL) with a focus on Transactional SQL and Spatial SQL abilities.
  • Ability to query and interact with DBMS (ie MS SQL, Postgres, Hana), server set-ups and various components of enterprise solutions.
  • Experience with Integration and orchestration platforms such as MagicXpi or Processware for application integration.
  • Extensive experience with Microsoft Azure cloud Servers and High Availability functionality.
  • Experience with mining data and the source systems used in a mines technical and operational department.

3. BA in Business Analytics with 8 Years of Experience

  • Experience in customer interactions and customer management
  • Good skills in scripting languages (Shell, Python or R), data formats (Excel, CSV), databases (SQL)
  • Excellent German language skills, oral and written, level C1/C2 or higher
  • Getting-things-done mentality, thriving in a fast-paced environment
  • Experience working with state-of-the-art data science tools and software
  • Understanding of machine learning (ML) and natural language processing (NLP) concepts
  • Experience or exposure to project management or team lead roles 
  • Experience in Microsoft Azure (Integration, Storage, Data Analysis and Reporting).
  • Experience with technologies like Hadoop, Pig, Spark, Hive 
  • Proven track records of delivering projects on time, budget, and scope
  • Advanced knowledge of Workday, Adaptive, and/or other analytic tools

4. BA in Computer Science with 4 Years of Experience

  • Experience in data analysis, data visualization and applied quantitative work (including knowledge of Python, R and/or other programming languages)
  • Proven experience within management consulting and the ability to effectively advise clients and manage stakeholders
  • Exposure to cloud technologies and Big data frameworks
  • Progressive knowledge of data quality management, information architecture and governance design and implementation
  • An understanding of key data and analytics technologies
  • Experience in managing enterprise data assets in a large, complex organization
  • Understanding of cloud and data management trends, including open source projects, and leading commercial vendors that relate to data acquisition, management, and the semantic web
  • Excellent critical thinking skills and ability to develop pragmatic solutions to address clients’ most pressing challenges.

5. BA in Information Systems with 3 Years of Experience

  • Experience in working in data science using statistics
  • Experience in developing Machine Learning methods
  • Experience with techniques like clustering, regression, and optimization
  • Experience in working with data science tools like Python, R, Scala, Julia, or SAS
  • Experience with unsupervised learning methodologies
  • Know way around cloud services like AWS, Google and Azure and big data tools like Hadoop, Hive and Spark
  • Have know-how in AI, machine learning, data science, and other related areas
  • Ability to work across industries and with cross-functional organizations

6. BA in Data Science with 4 Years of Experience

  • Experience with Cloud Data transformation journey, establishing the key business considerations
  • Experience in developing product road-map and translating to a strategic plan
  • Experience building data technology products
  • Working knowledge of data persistence, ingestion, and access requirements
  • Ability to partner and communicate effectively with technology teams, delivering cloud/hybrid/on premise data lake/data-warehouse solutions meeting the needs of use case
  • Excellent ability to develop and build teams by assessing quality talent and motivating and inspiring others
  • Sound understanding of Agile Methodology and other project management methodologies
  • Demonstrated core project management skills including project planning, scope management, issue and risk management, resource planning, financial management, etc.
  • Experience working with web analytics data such as Google Analytics 

7. BA in Statistics with 5 Years of Experience

  • Experience working with Tableau and connecting and combining data sources from various databases and data storage systems
  • Experience developing and visualizing metrics in dashboards or standalone views
  • Advanced experience with Tableau
  • Familiarity with the following tools: SQL
  • Familiarity operating in an Agile development environment
  • Knowledge of analytical techniques for descriptive, predictive, and perspective insights
  • Experience in planning and organizing
  • Excellent communication and customer skills (both verbal and written)
  • Proficient in MS Office including Word, Excel, and PowerPoint 
  • Ability to script using Python, SQL, and or R

8. BA in Business Analytics with 5 Years of Experience

  • Experience in a customer-facing role
  • Excellent written and oral communication skills
  • Some experience working with Project Management principles
  • Ability to perform in high demand team-based environment
  • Planning and analytical skills
  • Proficiency in working with data to identify trends and anomalies
  • Understand Master Data Management and different Master Data Management systems
  • Understand data flow diagrams, MS Viso, MS Project
  • Experience in the life sciences industry
  • Understanding typical pharmaceutical data sources and purposes, such as client CRM systems, AMA data, DEA data, State License data, and NPI data
  • Ability to self-manage multiple simultaneous projects

9. BA in Computer Science with 6 Years of Experience

  • Strong Knowledge of data analysis, manipulation, reporting and formatting
  • Sound knowledge of Excel
  • Strong attention to detail and accuracy, with the ability to spot errors and inconsistencies in large amounts of data
  • Good customer focus, with experience in a customer-facing environment. 
  • Able to understand customer needs and build relationships. 
  • Able to understand when to escalate issues.
  • Clear and effective communicator, able to communicate with customers and colleagues with credibility, including in a remote working situation
  • Good commercial awareness and some understanding of project and business dynamics
  • Attention to detail
  • Capable of working within (remote) teams and alongside customers, as well as on individual tasks with limited supervision

10. BA in Information Systems with 2 Years of Experience

  • Working experience in data management (better if has worked with relevant regulations such as GDPR, etc.)
  • Understanding of data management concepts such as Data Governance, Data Lineage, Data Models, Data Quality, Control Frameworks, Data Architecture, Data Analysis, BI, Data Warehousing, etc.
  • Knowledge of key data management tools such as Collibra, Ab Initio, Informatica etc.
  • Capable to query data sources: working experience with SQL, ETL, BI tools, reporting
  • Prove ability to execute, shape and manage the execution of data tasks and project tasks
  • Being able to work and liaise with various stakeholders, ranging from technical to non-technical
  • Able to go deep into the requirements and source data of the customer to come up with good solutions.
  • Able to document and present solutions to customers, development teams, support handover, …
  • Have a hands-on approach
  • Expert Excel skills and problem solving
  • Experience with PowerBI for dashboarding 

11. BA in Data Science with 3 Years of Experience

  • Experience in management consulting 
  • Knowledge of Federal programs, DHS and/or immigration-related programs 
  • Ability to review, synthesize, and prepare highly technical, sensitive, and complex documents, briefing materials, management directives and correspondence
  • Ability to conduct comprehensive data analysis
  • Experience and expert knowledge of Tableau, Python, and Microsoft Office 
  • Proficiency with SQL and SharePoint strongly 
  • Ability to obtain a Secret security clearance
  • Workforce Planning and Metrics Development experience
  • Ability to communicate at all levels of management
  • Experience in data mining, and report creation

12. BA in Statistics with 2 Years of Experience

  • Experience developing solutions using market-leading data visualisation software
  • Experience in databases and data modeling
  • Able to demonstrate excellent client facing skills, and to be able to translate technical language to the business
  • Good communication skills. 
  • Good at expressing yourself in written and spoken English
  • Excellent analytical and numerical skills
  • Clear and effective communication skills
  • Objective and logical with an enquiring and creative mind
  • Ability to work as part of a team
  • Resilience under pressure
  • Competence in Microsoft Office packages/ IT literate

13. BA in Business Analytics with 2 Years of Experience

  • Strong English skills
  • Work experience in handling data and building reports
  • Strong analytical skills including data QA knowledge/experience
  • Solid Microsoft Excel skills
  • Python and/or SQL skills or commitment to learn
  • Adaptable, creative, autonomous, solution driven
  • Highly organized, meticulous, striving for excellence
  • Integrity and teamwork skills
  • Good understanding of corporate data, market data, fundamental data, and reference data
Relevant Information
Data Migration Analyst Skills, Experience, and Job Requirements
Data Migration Consultant Skills, Experience, and Job Requirements
Data Migration Lead Skills, Experience, and Job Requirements
Data Collector Skills, Experience, and Job Requirements