New Job Alert! Our client, a leading OEM in Metro Detroit, is seeking a skilled Data Manager who excels in analytics, dealer data governance processes, and dataflows. Apply directly via LinkedIn or our website! #epitec #hiringnow #datamanagementjobs
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Why You Should NOT Hire a Fractional Head of Data (and Why You Should) Many businesses today are grappling with the challenge of effectively managing their data. Hiring a full-time Head of Data can be a significant financial burden, especially for small to mid-sized companies. However, turning to a fractional Head of Data may seem like an appealing alternative. But is it the right choice for your business? 🤔 Pros and cons: https://lnkd.in/g4WRbuQs Whether you need a full-time Head of Data or a fractional expert, our team ensures seamless integration and optimal performance. Our approach guarantees you'll get the best of both worlds: cost efficiency and top-tier expertise. Don't let #data challenges hold your business back. Make the smart choice for your data strategy and see immediate results. 💡 #fractional #fractionalservices #fractionaldata
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Data & AI Governance Expert 🔎 | AI ethics & policies | Women in AI | Speaker | LinkedIn™️ Top Voice in AI 🇫🇷
I don’t understand why companies hire Data Stewards. It doesn’t make sense. ➡ Data Stewards are already here as non-official roles. Do you think business people are using dashboards with incorrect numbers and ignoring the issue? ❌ No! They find ways to fix it, whether it’s cleaning data in Excel or asking someone they know from tech to correct it. In doing so, they establish data quality rules from a business perspective. Isn't this exactly what you expect from a Data Steward? #datagovernance #organization #data
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• In data analytics projects, it's crucial to clearly define these aspects: • Purpose: This outlines why the project is being undertaken. It could be to optimize operations, improve customer experience, increase sales, etc. • Stakeholders: These are the individuals or groups who have a vested interest in the project's outcomes. They could include executives, department heads, analysts, or even customers. • Result Success Criteria: These are the measurable outcomes that will determine the success of the project. They should be specific, measurable, achievable, relevant, and time-bound (SMART criteria). #dataanalysis #dataanalyst #jobs #Process #Project #datacleaning #datacollection
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5x LinkedIn Top Voice | Head of Business Intelligence & Data Analytics @ Tella | Innovation Strategy
Interview questions for Data Analyst might involve about single or bidirectional table relationships. How the direction of table relationships can significantly enhance how we query and interpret our data? 🔹 Single Directional Relationships Consider a simple retail database where we have two tables: `Products` and `Sales`. The `Products` table holds information about the items (like product_id, name, and price), while the `Sales` table records transactions (including sale_id, product_id, and quantity). In a single directional relationship, we might set up a foreign key from `Sales` to `Products` using `product_id`. This allows us to easily fetch product details for each sale, moving straightforwardly from `Sales` to `Products`. 🔸 Bidirectional Relationships Imagine we also want to track inventory adjustments directly linked to specific sales, such as returns or damaged goods. We could introduce a new table called `Inventory_Adjustments` with fields like adjustment_id, sale_id, and adjustment_type. In this case, establishing a bidirectional relationship between `Sales` and `Inventory_Adjustments` (each linked via `sale_id`) allows us to not only trace which sales led to inventory changes but also review any inventory adjustments associated with a particular sale. This bidirectional approach provides a comprehensive view, enhancing both reporting capabilities and operational insights. 💡 Choosing between single and bidirectional relationships depends on your specific data needs and operational requirements! #DataManagement #BusinessIntelligence #DatabaseDesign #DataAnalytics
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I make you earn money from your SAS Viya environment by turning data analytics into insights and actions as I interpret wisely your business requirements. I work autonomously or leading a team of data analysts.
We deliver curated #dataproducts. Our sales force steering report went live in a beta version, and it already displays a lot of features and functionalities nonetheless it continuously incorporates more features and key performance indicators. Data Engineer, Data Analyst, Data scientist and Business Developer are the 4 hats we interchange as the analytics projects evolves. A thoroughly designed and efficiently executed data strategy is one of the key success factors. We excel at #dataengineering, our output tables are a piece of art in terms of feature engineering and data quality. For your eyes 👀 only: Due to legal constraints we apply row level security so that every key account manager can only see his relevant, personal data, but without losing the context of the higher aggregations like how the geographic region is performing, how they compare against the brand or the company as a whole. This allows for benchmarking, hierarchies and ranks. Have a glance at our work by watching this short video about navigating some of the pages of the report, naturally with fictitious / anonymized data.
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Industry Knowledge + Data Technology + Extensive Referral Network = JobTracks Expertise. #HiringNow #ProfessionalSkills #RealEstate #TitleInsurance #NowHiring #escrow #manufacturing #ManufacturingExcellence #IndustrialEngineering #JoinOurTeam 💼🚀
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1️⃣ Dashboard and 1️⃣ Solution. Actionable data is driving development, acquisitions, staffing levels, staff performance, leadership development, revenue, care, higher occupancy (opening up AL/MC to the middle class), etc. in our communities right now! Why not have a single dashboard that presents this data to you, in real-time, without having to rely on integrations or manual data entry? To add an important layer, tailoring each dashboard to match specific job titles (at a community or corporate level) is something crucial to operators. Why? 🙋♂️ Care doesn’t want to sift through sales data and vise versa, but they do want to have visibility into what communication has happened previously. Operators are also telling us that, integrations with siloed systems work well, but still require manual data entry and manual reporting.⏳ A native system eliminates the integrations and provides full transparency/communication among all departments - care, operations, and sales! What story do you want your data to tell? P.S. - This can save you💰from hiring outside data engineers to compile data for EOM or EOY reports. #data #insights #revenue #aquisition #development #residentcare #assistedliving #memorycare #valuebasedcare #consolidation Ricky van de Vall Braedan Russell Omer Baturay
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Data Analytics Engineer @ Pathways Technologies Limited || Freelance Data Analyst || Business Intelligence Developer || Analytics and Engineering
Reasons why Data Analytics Engineers are more valuable Because they have *Business understanding *Stakeholders management skills *Presentation skills *Strong network *know how to properly model data *know how to translate between Data Engineers and Data analyst *know how to apply business logic and maintain databases Anything else😊? #data #dataanalyst #dataengineering
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Urgent requirement: #text #data #labeling #analyst at #Pensacolaflorida #hybrid #role #needlocal please share profile at sonia@exarcainc.com #requiredskills : 1. labeling 2.text data 3.machine learning #contractjob #text #data #labeling #analyst
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Analytics engineers are flooding the data jobmarket right now. It's because they often both have: - business understanding - stakeholder mgmt skills - presentation skills - strong network AND know how to: - properly model data - apply business logic - maintain databases - translate between data engineers and analysts Companies have come to understand that these bridging figures are worth gold in a mature data program. So what's the number one role in data for the forseeable future if you ask me? I would say it's the analytics engineer! #analyticsengineering #bridging #role
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