<div>D Recruitment Company – Established in the year 2012, has consistently risen among the leading global executive search firms with Pan India Operations. Our success story is built on the foundation of performance, consistent delivery and service, with over 70% of our work derived from continued projects from existing clients.</div><div>We partner along with our clients from leading Global Organizations from the IT, ITES, FMCG, Banking, Logistics, SME’s, eCommerce, Educational Institutions, Healthcare Providers, Manufacturing Units, Oil &amp; Gas and Semi-Conductors.</div><div>Our expertise stretches across the gamut of Lateral Hiring, Executive / Leadership Hiring, Permanent Staffing, Contract Staffing, Incubation Center, HR Consulting and Advisory, Policy Formulation and Drafting, Recruitment Process Outsourcing, HR Audits and Exit Management and Offboarding.</div><div>Our values are built on transparency, agility, accuracy, diversity and simplicity. As dedicated and thorough recruiters, DRC has successfully facilitated successful hiring processes by consistently building on our comprehensive in-house database of specific domain experts. As much as we focus on talent with experience, we are equally connected with premium educational institutions to enable the hiring of Freshers. We are committed to identifying the best candidates for any assignment however large or small and are prepared to look beyond regional boundaries and reach out to people willing and competent to fulfil our clients’ needs.</div>

D Recruitment Company

<div><strong>Key Roles and Responsibilities:</strong></div><ul><li>A Workplace Data Analyst gathers, cleans and interprets data sets to extract insights from the data and help inform workplace and real estate decisions</li><li>To be able to support a descriptive analysis telling us what happened, diagnostic analysis telling us why it happened, predictive analytics which forms projections about the future, and prescriptive analysis which creates actionable advice on what actions to take relation to a client's workplace and real estate.</li><li>Gathering data: This could include developing and conducting surveys, based upon Haworth's existing cultural competing values framework. As well as modelling workplace surveys to measure workplace activities, satisfaction, and stress, as examples. Gather data on space utilization using turnstile badge data, booking applications, sensors, and observational studies.</li><li>Clean data: Cleaning the data, removing duplicates, errors, or outliers to maintain the data quality in a spreadsheet or through a programming language so that interpretations won’t be wrong or skewed.</li><li>Consolidate, Categorise and Model data: Creating and designing the structures of a database. Choose what types of data to store and collect, establish how data categories are related to each other, and work through how the consolidated data appears.</li><li>Interpret data: Interpreting data to find patterns or trends in data that will help answer specific workplace and real estate questions from clients</li><li>Present: Communicating the results of your findings will be a key part of your job. You do this by putting together visualizations like charts and graphs, writing reports, and presenting information to interested parties.</li></ul><div><strong>Data analyst technical skills:</strong></div><div><strong>Must Have‘s:</strong></div><ul><li>Database tools: SQL can handle larger sets of data and is widely regarded as a necessity for data analysis.</li><li>Programming languages: Statistical programming language like Python or R</li><li>Data visualization: Presenting findings in a clear and compelling way is crucial for stakeholders to understand analysis. Tableau, Jupyter Notebook, and Excel are among the many tools used</li></ul><div><strong>Good to Have’s:</strong></div><ul><li>Power BI</li><li>Statistics and Maths: A solid grasp of statistics and maths will help you determine which tools are best to use to solve a particular problem, help you catch errors in your data, and have a better understanding of the results</li></ul><div><strong>Data analyst workplace skills:</strong></div><ul><li>Problem solving: A good understanding in concept of the workplace question being asked and the problem that needs to be solved. Be able to find patterns or trends that might reveal a story. Having the critical thinking skills will allow you to focus on the right types of data, recognize the most revealing methods of analysis, and catch gaps in the data and analysis.</li><li>Communication: Being able to get your ideas across to other people will be crucial to your work. Strong written and speaking skills to communicate with colleagues and other stakeholders.</li><li>Industry knowledge: Knowing about the real estate and workplace industry will be an advantage.</li></ul><div><br></div>