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We are looking for an Analyst / Sr. Analyst to join our growing team of data analytics in Corp Commercial who would manage the processes responsible for accurate data collection, processing, modeling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
The candidate will work closely with leaders across different domains (Pricing, Sales Excellence, Marketing etc.) to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.
RESPONSIBILITIES:
• Develop Tableau dashboards and recommendations for executives by connecting data from Core ERPs & enable weekly reporting Capabilities using Tableau
• Data Engineering – Adept at SQL. Data Mining – validate data extracted & report out discrepancies between current vs. to be reporting model & knowledge of Programming Language (Python, R)
• Possess Technical expertise to ensure quality and accuracy of data is factored for raw insights
• Be the front end & provide strong functional thought leadership and consulting in the respective domain
• Strong technology experience, preferably past delivery lead role experience of multiple technologies including but not limited to SAP Hana, SAP BI, SFDC, Data Integration, common knowledge of security application and data security, and data architectures
• Partner with business alignment team and business leaders on all domain initiatives
• Experience using data science solutions hosted on Honeywell FORGE (Domino, Paxata, Dremio, Informatica, Collibra)
• Ability to learn new platforms and technologies quickly and efficiently, and advise on best business use
• Motivated to drive performance in a fast-paced environment, with multiple tasks, deadlines and changing priorities.
• Develop and implement comprehensive tools and strategies that allow raw data to be transformed into business insights
• Keen for attention to detail, should be adept at Data Discovery, Persona Profiling, requirements gathering & core process analysis of problem area
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Understands the domain, business, industry and interconnectivity between industries. Sees vision of the business and supporting through innovation.
• Radically challenges the way “things are used”. Creates new efficient ways. Starts at end user and works backwards/tech is secondary
• Ability to connect multiple aspects, understand a problem domain and be able to draw conclusions and suggest solutions. Ability to engage in both inductive and deductive process, Knowledge of how to find unknown quantities in a problem solving situation, Competence in linking various operations for complex problem solving.
• Create advanced analytics and predictive models to solve complex problems & develops analytical solutions
Full Time
Durable Manufacturing
$55k-73k (estimate)
02/29/2024
05/10/2024
honeywell.com
OLATHE, KS
>50,000
1920
TERRY KARST
$10B - $50B
Durable Manufacturing
The job skills required for Data Management Analyst include Data Quality, Problem Solving, Initiative, ERP, Data Analysis, Attention to Detail, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Management Analyst. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Management Analyst. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Management Analyst positions, which can be used as a reference in future career path planning. As a Data Management Analyst, it can be promoted into senior positions as a Data Modeling Analyst that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Management Analyst. You can explore the career advancement for a Data Management Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Management Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Management Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Management Analyst job description and responsibilities
Data Management Analyst analyzes business objectives and develop data solutions to meet customer needs.
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Develop and document the standard data reporting processes.
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Data management analysts develop analysis and reporting capabilities.
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A data management analyst gathers, cleans, and studies data sets to help solve problems.
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Accountable for the administration and performance required for the system, and the accessibility and efficiency of query and analytic modeling against the centralized data.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Management Analyst jobs
Acquiring skills like the use of statistics, math, and computer science to analyze data are the first step to becoming a data analyst.
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Aspiring data management analysts should get started with data analytics reading.
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This path consists of completing the required qualifications, attaining the necessary skills, and learning about the various roles and responsibilities of a Data Management Analyst.
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Understand the how, what, where, when, and why of data skills.
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Many data management analysts pursue professional certification to gain knowledge of the role and find job opportunities.
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Step 3: View the best colleges and universities for Data Management Analyst.