Grey Matter Recruitment’s Post

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🚀 Looking to consolidate multiple Bullhorn databases? You need a solid team! 💼 When tackling a Bullhorn migration, having the right experts in place is key to success: 🗓️ **Project Manager:** The glue that holds everything together! A skilled PM ensures timelines are met, resources are well-managed, and communication flows smoothly. Without one, you're risking delays and missteps. 💡 **Consultant:** Your Bullhorn guru. A consultant brings invaluable expertise, ensuring custom fields, workflows, and integrations align perfectly. They know the system inside and out, optimizing your setup and reducing errors. 🔧 **Data Engineer:** The technical mastermind. A good data engineer ensures seamless extraction, transformation, and loading (ETL), maintaining data integrity and preventing performance issues. Having these key roles, along with trusted partners who understand the nuances can make all the difference in ensuring your consolidation is efficient, accurate, and ready for future growth!🌱 Get in touch if consolidation of your Bullhorn instances is on your agenda.... Newbury Partners #ProjectManagement #DataMigration #Bullhorn #Consulting #DataEngineering #CRM #ATS #RecruitmentTech #NewburyPartners #IndustryLeaders #Teamwork #ExcellenceInExecution

Consultancy, Contractor, or Employee? Aligning Data Talent Solutions with Business Size: Navigating the decision between hiring a consultancy, engaging a contractor, or employing full-time staff for data projects depends heavily on the size of your business and the nature of your data needs. Here's how businesses across the spectrum can determine the best strategy for their data talent needs. A. For Small to Medium-Sized Businesses: The Advantages of Consultancies 1. Access to a Wide Range of Expertise: Small businesses can tap into a diverse set of specialized skills in data analytics and machine learning through consultancies, without the need for on-staff experts.    2. External Management of Technical Staff: Consultancies take on the responsibility of managing technical personnel, lightening the load for small businesses that might not have the capability to manage experienced technical leaders internally.    3. Cost Efficiency: Facing complex data challenges, small businesses find that consultancies offer a financially sensible option, sidestepping the need for the long-term financial commitments associated with hiring full-time employees. B. For Larger Businesses: The Flexibility Offered by Contractors As they grow, larger businesses may find themselves in a position to manage more complex data projects with some level of in-house technical management. In such cases the adaptability and specialized expertise that contractors bring to the table are invaluable, complementing in-house capabilities and providing the agility needed to tackle project-specific demands efficiently. C. For Large Corporations: The Strategic Investment in Full-Time Employees Large corporations, equipped with significant resources and facing ongoing, sophisticated data challenges, stand to benefit greatly from hiring full-time employees: 1. Building a Dedicated Team: The strategic addition of full-time staff enables large corporations to cultivate a dedicated, in-house data team, fostering long-term growth and innovation within the data domain. 2. Leveraging External Expertise When Necessary: Even with a robust in-house team, large corporations may still engage consultancies and contractors for projects requiring unique skill sets and talents, ensuring a comprehensive approach to their data strategy. This tailored strategy offers a clear perspective on how businesses of varying sizes can effectively address their data talent needs. Whether through partnerships with consultancies, hiring contractors, or investing in full-time employees, businesses can navigate their unique challenges and opportunities, aligning their data talent strategy with their operational scale, resources, and the specific complexities of their projects.

Peeps LI friends, I am finally back from a refreshing and overwhelming five week family vacation overseas, you never get enough when meeting family, still feels great. Trying my best to get accustomed to Melbourne’s cold wave, transitioning from 40 degrees to 12 🥶. I am now looking forward to getting in touch with candidates who have reached out to me on emails, messages and scheduling face to face coffee catchups with my contacts. During my vacation, I did start reading ‘Atomic Habits’, super-like every stance of the book. Each line speaks stories, setting examples for the reader to follow and get motivated. Tiny changes, remarkable results!! Those little changes we make with our day to day habits makes a huge impact. Food for thought: if you get 1 percent better each day for one year, you’ll end up 37 times better by the time you are done. Quick run-down of Dev positions (Melbourne based): 🎯Enterprise Data Modeller - 6 months contract with extensions (Data vault 2.0 & Erwin) 🎯Test Lead (Salesforce/CRM) - Federal Govt (Australian citizenship required) 🎯Data Analyst APS 5 - Federal Govt (Australian citizenship and NV1 required) I manage a team of Data, Dev, BI, Testing and Architecture and would surely like to have a chat over coffee ☕️ if you are looking for your next career move or have open positions in your company where Hays can support. #wearehays #goodread #openroles

Data management is critical to great systems and processes. The new Data trends function helps all the admins... Whats New: You can now see a new chart and table that enable users to see common sources that are creating, delete, updating and merging records Why does it matter: It's not easy to spot the trends without setting up custom reporting and dashboarding - still our reccomended approach. This new function helps you identify what's creating and updating records in your Hubspot instance How does it work? Navigate to Reporting>Data Management>Data Model and select the new Analysis tab. When you land on the tab you'll see a visualization of how contacts were created over the past 90 days (not including today). The default will include up to the top 10 sources creating contacts. While on this page you can: - Select specific sources (up to 10) - Filter the date range - Change the action type (create, delete, update, merge or all actions) - Change the object type (contacts, companies, deals, tickets or custom objects) - Scroll down to see the same information in a sortable table. If you are a Hubspot Admin, how do you plan to use this new functionality?

Great stuff, Technical Freelancer Academy. I really resonate w/ 2 and 5. I'll add that people will likely need to have a more 'longterm perspective’ than in their corporate jobs. When you work a corporate job you’re likely incentivized to chase relatively short term goals - like getting into the quarterly promotion review list, hitting your annual bonus, etc. When you work for yourself, you will likely need a mental shift that a large part of your time (especially up front) will not bear fruit for quarters of even years to come. This requires some patience. Translating this to a metric - you might make less money in your first year (or longer) consulting than if you stick with your corporate job. For example - you might join a professional organization and invest your time in it. I joined the Ruston-Lincoln Chamber of Commerce. Did I find a prospect at the first event I attended? No. Did that stop me from regularly (e.g. monthly) attending Chamber events? No. Have I found business through connections made with the Chamber? Of course. This longterm game is a double-edged sword when it comes to performance on a project. I’ve been full-time consulting since December 2022 and already am enjoying repeat business. I did well for a leader in spring 2023. That leader moved to a new employer. That leader referred me for a project at her new employer that started this month. But what if you totally blow it on your first project? It’s not going to bode well when prospects ask, ‘Hey, proposal looks good. Could I just talk to your previous customers b/f signing?’ That said, I’m not suggesting that corporate jobs are entirely about short-term gains. You could excel on a project for one boss, and years later, she might recruit you for her new team. However, due to factors like job changes and corporate bureaucracy, the probability that your performance now will influence future opportunities is generally lower in the corporate world compared to self-employment.

I get asked "Are you open to contract or permanent work?" Well the answer is a lot more complicated than "both". Ideally I want to be providing a service to a client eg "perform an audit of their data analytics system and identify areas to be improved". But the other option missed out is "Fractional". If you want a part time CTO or "Head of Data Platforms" consider me. You get someone experienced in data analytics platforms to keep an eye on your teams as an advisor and helper. If you don't want to pay for a full time person then bring me on two or three days a week. (Is "fractional" the same as "part time" - mostly, though I am not sure the difference matters to most people) #fractional

#C2C #Hiring for #Product #Technical #Business #Analyst  Duration: Long Term Location: Remote     TOP 3 SKILLS REQUESTED FOR TECHNICAL FORM    1.      Leveraging data for business growth and transformation: Proven track record of building out a system for meaningful product usage analytics from the ground up, and using data to make decisions and drive towards achieving objectives/KPIs  2.      Experience with data analysis and modeling, building power BI reports, providing guidance and direction for data-based business and product direction decisions.  3.      Product usage analytics technologies: experience in evaluation, implementation, and reporting to support data analysis and decision making.  4.      Troubleshooting of usage analytic implementation to ensure accurate data collection and report generation. 5.      collection, evaluation, understanding, and communication of business requirements involved in the development of new or the modification and ongoing support of existing enterprise business applications.     Profile Requirements ·        Proven track record of building out a system for meaningful Product Usage Analytics from the ground up, and using data to make decisions and drive towards achieving objectives/KPIs  ·        Ability to translate abstract/high-level business requirements into measurable usage analytics  ·        Team player with an ability to build partnerships and influence across all levels of the organization  ·        This individual oversees the analytical technologies, approaches, methodologies, and KPIs across FM Globe’s digital products, with a mission to help our product teams to become more data-enabled and data-driven while ensuring high level of consistency across products  ·        Participates in system requirements definition, testing, training, implementation, and support of enterprise-wide business applications. ·        Solicits business requirements through interviews, workshops, and/or existing system documentation or procedures. Uses industry standard analysis techniques to uncover business requirements, such as data flow modeling, use case analysis, and workflow analysis. ·        Demonstrates a clear understanding of FM Globe’s business and business processes. ·        Coordinates the efforts of other team members within the assigned project.    Key Screen Questions - Please submit them along with candidate resume    1.     What kind of usage analytics tools and techniques do you use for product usage analytics, and how do you ensure data quality and accuracy?  2.     What experience do you have in developing and implementing product usage analytic strategies?  3.     Can you describe a time when you had to communicate technical data concepts to non-technical stakeholders?  4.     Describe a time you have multiple projects in flight and how did you prioritize items to be working and in what order?   Email- rashmi@linktms.com

A mature #RevOps org has three pillars: 1. Data Infrastructure layer This is where all your tech stack, the intricacies of how data flows between different systems, your #CRM architecture - all of it gets designed. This is the layer that generates data for all your decisions. 2. Process & Programs #AI might be all the rage but there is no system out there yet that can connect all your systems and generate the output in the context you want to see. And that is why gaps between systems continue to exist. This is why a #process comes in as a magical glue to connect your systems. CI to CRM, CRM to ERP, etc. This is the layer where you decide what a #SDR to #AE handshake looks like, what an AE to #CSM handshake looks like. This is the project management layer where you work cross-functionally to get things done. This is where your Forecasting, your commissioning, your sales processes, your annual planning - all of it happens. 3. Analytics This is the layer where you harness all the data and the outcomes from your systems and processes. This is where the funnel metrics are benchmarked and measured: #MQL, #SQL, Win Rate, CPL, Retention Rate, etc. This is where you are talking numbers. This is where you are writing playbooks off the patterns and squaring off outliers in your data. In the absence of any of these three pillars, RevOps ain't true #RevenueOperations. And the beauty of this is you will find many careers building out of any of these branches of this RevOps tree as a whole: Commissions Expert, Business Analyst, Tech Stack Specialist, #Salesforce Admin, #SalesOps Expert and so on.