JOB DESCRIPTION
Our continuous improvement team is looking for a data analyst to join our team and assist with data clean-up, database creation, and data analytics.
This position will primarily support the manufacturing sector of the business, but will also work on projects in inter-related areas such as supply chain, procurement, and warehousing.
The ideal candidate would have knowledge in manufacturing business flows, general working knowledge of ERP/MRP systems, and strong analytical and reporting skills.
This is a new position, created to support the continuous improvement team, but to also align with the overall company initiatives of building and developing a data analytics group to improve efficiencies and reduce costs in all areas of the business.
The position would be located in the Cleveland, OH area, but remote applications may be considered within commuting distance of Cleveland, OH.
While much of the work with individual operating companies may be done remotely via virtual meetings, there will be some amount of travel required. Job Responsibilities ☐ Modify existing web portals, both inputs and outputs, and provide interpretable analysis ☐ Analyze existing datasets into visually understandable outputs (Tableau, Power BI, or similar) ☐ Interact with manufacturing management to understand data needs and build requested outputs ☐ Own the Minitab Engage dashboard and provide support for program launch ☐ Assist with extracting data from plant-floor PLCs and analyzing data sets ☐ Connect with and/or extract data from multiple ERP/MRP systems (ie.
SAP, D365, etc.) ☐ Work closely with centralized IS/IT to support and ensure alignment with overall data analytics goals ☐ Provide training on analytics systems such as Power BI and Tableau, to potential power users/developers Skills & Education ☐ Bachelor's degree in information systems, data analytics, engineering, or similar ☐ Ability to create, modify, and maintain databases with relational tables ☐ Web design and programming skills (SQL, R, python, or visual basic) ☐ PLC data interface communication and data extraction ☐ Familiarity with ERP/MRP systems and/or interfaces and data extraction ☐ Knowledge of built-in analytic functions within main ERP systems (D365, SAP, etc.) ☐ General manufacturing and business knowledge to assist in vetting out data analysis ☐ Project management and strong organizational skills ☐ Knowledge of machine learning algorithms a plus
Benefits and Compensation
The employee will be eligible to participate in all applicable corporate benefit programs which include a defined benefit pension plan, a company-matched 401(k), medical and dental plans, group life and disability plans, and employee assistance program.
The employee will also be eligible for paid vacation, PTO, paid holidays, and tuition reimbursement.
Employee will be eligible for annual merit increases and bonus.Apply for this ad Online! ....Read more...
Type: Permanent Location: Medina, Ohio
Posted: 2024-10-28 22:53:27
Data Scientist
Python, SQL, PySpark, Cloud, Azure Databrick, Data Factory, DevOps
Hybrid working, Work from Home, Remote working, 1 day a week in Slough, Berkshire
@mecscomms is recruiting for a Data Scientist to solving complex business problems with cutting-edge modelling techniques, deploying data products at scale using Azure, Databricks, PySpark & collaborating with cross-functional teams to drive data-informed decisions.
As a Data Scientist, you'll be working across multiple areas including physical stores, online operations, stock management, finance & of course marketing.
If you have experience in Python programming, PySpark & expertise in using Databricks, Azure Data Factory & Azure DevOps, I'm keen to hear from you!
Position: Business Intelligence, Big Data, Data Analyst, Data Manipulation, Insight Developer, Reports Developer, Business Analyst, Analyst Programmer, Application Developer, Automation, Data Integrity, Data Modelling, Reporting
Purpose: The Data Scientists will analyse complex datasets to extract insights, solve business problems & develop predictive models, ultimately supporting decision-making & driving innovation across the organisation.
The role holder will leverage advanced analytics & machine learning to optimise processes, improve products & services & communicate actionable insights to stakeholders, translating complex findings into strategic recommendations.
Technology: Python, SQL, PySpark, Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps, Statistical modelling methods, Predictive modelling, Trend analysis, Unsupervised models, Database management, Data pipeline development, CICD, Data integration from multiple sources, Data visualisation, Agile methodology, Software development principles
Location: 4 days per week - work from home, remote working, home based.
1 day per week - hybrid from an office in Slough, Berkshire
Nature: Permanent, Full Time
Hours: Monday - Friday 09.00 -17.30
Salary: £70,000 - £80,000 basic + 20% bonus & comprehensive benefits
Key Activity:
, Collect & analyse large datasets
, Use statistical methods to extract insights
, Build predictive models & algorithms
, Database manipulation
, SQL Queries
, Development of reporting tools & dashboards
, Business analysis & reporting
, Insight process management
, Communicate findings to stakeholders
, Inform business strategy
Overview:
The Data Scientists will play a crucial role in leveraging data to drive business success.
You will analyse complex datasets to uncover valuable insights, using advanced analytics & machine learning to solve business problems & optimise processes.
Through developing predictive models & algorithms, you will forecast trends & outcomes, supporting leadership with data-driven recommendations for strategic decision-making.
The role extends to improving products & services, enhancing customer experiences, & driving innovation through cutting-edge solutions.
This role will bridge the gap between technical analysis & practical application, translating complex findings into actionable insights that non-technical stakeholders can understand & implement.
Responsibilities:
, Identify, build, validate, optimise & manage complex models & data pipelines
, Generate & deliver new opportunities to improve customer experience via Data Science
, Data science lifecycle management of products including deployment into production, testing, CICD, documentation & security considerations
, Be the expert in an area & use it to support & grow the whole team - e.g.
specific models, Azure environment, PySpark code optimisation
, Coaching & mentoring junior colleagues & peers in Data Science practices
, Integration & analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities & answer ongoing business questions
, Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan
, Continuously look for innovative ways to improve products
, Good understanding & use of internal & external datasets & share this knowledge openly
, Promote the importance of data openly across the company
, Encourage collaboration & communication between teams across the delivery teams & promote a culture of giving, receiving & adapting
, Identify resolution paths & possible opportunities to solve unstructured problems & articulate specific research questions to form analytics project ideas & project plans to delivery
, Take responsibility for decisions that you make within your projects & able to clearly explain your reasoning.
Candidate Profile:
Candidates should possess similar experience in a Data Science capacity.
Your skillset & experience is likely to include as many of the following as possible:
, SQL & Python coding skills using software development principles
, Deploying DS models in the cloud environment (Azure preferred)
, PySpark coding skills
, Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps
, Ability to reframe ambiguous business questions
, Define & execute hypothesis-driven analysis to address business issues
, Utilise complex statistical concepts in analysis
, Develop project plans to deliver a product that solves problems
, Database experience, combining internal & external data sources
, Statistical modelling methods - predictive modelling, trend analysis, unsupervised models
, Articulate ideas with non-technical language
, Demonstrate brilliant listening skills
@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology
@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
For more information or a list of current vacancies, please see our web site at mecscomms.co.uk ....Read more...
Type: Permanent Location: Slough, England
Start: ASAP
Salary / Rate: £70000 - £80000 per annum + 20% bonus & comprehensive benefits
Posted: 2024-10-11 14:59:58
