DMAIPH HR Analytics Strategy Lead

HR Analytics Strategy Lead

DMAIPH is an international analytics firm with offices in both the U.S. and the Philippines that specializes in providing analytics themed training, consulting and outsourcing to its clients.

DMAIPH also conducts analytics training classes facilitated by our President & Founder, Daniel Meyer. Mr. Meyer is an author, public speaker and one of the most sought after analytics experts in the Philippines. Over the past 5 years, Mr. Meyer has trained 1,000s of Filipinos on a variety of analytics topics. We are currently building out a marketing and analytics team to grow the training business line.

We currently employee over 60 employees here in the Philippines who are assigned to providing customer service, email support and graphic design work for a U.S. based client. This account is a mature account, having been established in 2013. This specific role will work directly with the marketing and analytics teams of DMAIPH and support the broader HR efforts for the other DMAIPH lines of business.

The role of the HR Analytics Strategy Lead has four primary functions;

  • 25% HR Generalist (Comp/Ben, Contracts, Recruitment, etc)
  • 25% HR Analytics Technical Trainer
  • 25% HR Analytics Projects
  • 25% HR Analytics Resource Speaker

Job Requirements:

  • At least 3 years of of HR work experience.
  • Experience in the BPO industry is a plus.
  • Four-year degree holder in an HR, related course preferred, but any undergraduate experience is acceptable.
  • Intermediate MS Excel skills.
  • A strong interest in analytics; using data to driven decision-making.
  • Experience with corporate training, public speaking and/or classroom teaching strongly preferred.
  • An Above average level of English proficiency.
  • A pleasant attitude and professional appearance.
  • A curious mind. Successful candidates will be able to demonstrate how they enjoy solving problems and looking for innovative solutions.

Job Duties:

HR Generalist (25%) – serving as an HR Generalist (Recruitment, Compensation & Benefits, and Employee Engagement) for a team of 10-15 marketing and analytics employees. Will also work with HR staff from DMAIPH business partners responsible for other DMAIPH teams.

HR Analytics Technical Trainer (25%) – will work alongside other DMAIPH trainers to deliver content specifically designed for HR Analytics training activities. Initially working with content already developed, over time the lead may develop their own content under the guidance of senior DMAIPH staff.

HR Analytics Projects (25%) – will work on ad hoc and ongoing analytics projects aligned with industry and academic needs to massively upskill HR staff. Will conduct research, prepare reports and deliver findings to DMAIPH management and key business partners.

HR Analytics Resource Speaker (25%) – will be assigned speaking roles at various academic and industry events where as needed. Content will be provided. Over time will become a spokesperson and champion for furthering the use of HR analytics in the Philippines.

Please note that we are not expecting successful candidates to already have work experience in all of these areas. There will be a large amount of training, coaching and mentoring to get the Talent Management Analyst up to speed. Above all else we are looking for someone who is curious, who is flexible and who can take initiative.

Compensation:

  • Starting salary depends on experience, but the position base is targeted at 30,000 PHP a month.
  • After probationary period, health benefits and paid leave will be made available (probation can last between 1 to 6 months).
  • Additional performance based incentives can be achieved for filling training classes and meeting HR metrics goals.
  • Up to P2,500 in tax-free allowances.
  • Possible 5-10% performance bonus upon normalization.
  • Complete 40 hours of work. This is a full-time job commitment.
  • Annual performance evaluation and compensation increases.
  • Standard employee benefits as mandated by Philippine law.
  • Company lap top and mobile phone may also be provided.

Location:

This position is primary office based, but will be able to work remotely a significant % of the time once past probationary status. There will be a need to go into the field to attend job fairs, DMAIPH training events and occasional conference and workshops. There may also be a need to report to our Ortigas office for meetings and trainings. During the onboarding and probationary period, the HR Analytics Strategy Lead may be required to come into the office regularly until they are fully up to speed.

Interested applicants please send your resume and contact details directly to me at danmeyer@dmaiph.com

The Data Analyst Era

FIRST THINGS FIRST,

 

https://www.sonicanalytics.com/

Do you think this is still the career era for nurses? The era of Physical Therapist?  The Networking era? The I.T eras? Why don’t you try to type in google right now and search Most in demand jobs in the futureand you will mostly find “Analyst” on every job description in demand in the future. The worst case is that you will also discover the worst job in the future, if you have been caught on that category. I say we are here to save you.

We are here to help you start building your future right now

 

https://www.facebook.com/pg/dmaiph/photos/?tab=album&album_id=1316439141834859And be the first one to learn and know what is in demand. We are here to supply you knowledge and provide you a strong foundation in analytics. We have the same curiosity when it comes to analytics? Trust me, I’m not a big fan of numbers, but I’m wrong, I never thought analytics also plays a role in giving us a perception through data visualization with the right purpose of using numbers. Not just some numbers you need to compute instructed by your professors to do so.

 

It’s all about numbers but.

It also equips with visualization with easy number to analyze. If you notice right now visualization plays an important role in our digital age today. Because we prefer to see imagery instead of computation, we prefer reading pictures instead reading books. Analytics have the same concept and there is a huge shortage of people who are skilled in working with data to answer questions to solve problems. Sonic Analytics

Therefore, you have seen the number of analyst job postings increasing at an amazing rate. Then why not apply it into our career, use this as an asset for you to innovate.

 

For those who are interested in or just beginning a career in data analysis,

here’s a few tips to help you get started,

Be willing to learn,

Being a sponge in learning data analysis (and with any field) can only reap the benefits. With data analysis, it’s important to start small and learn the basics and foundations before moving on and tackling bigger things. learning-picture.jpg

Building a solid foundation of education in the beginning helps you know the basics and allows you to work on building your skills and knowledge as you progress through your career.

 

Don’t be afraid to ask questions and get help

You can’t do it alone, and not seeing out help can cost you opportunities as you progress through your career. Reaching out isn’t a sign of defeat or being unknowledgeable, it shows that you’re passionate and want to learn more but need the proper guidance to get you there.images

Becoming a data analyst is a great career option for those who love to work with numbers with the right tools (We will guide you) to help you and to help companies, organizations draw conclusions and arm them with the information they need to make for decision making.

If you’re a beginner,

26993474_1325177484294358_3157857508557595202_nDon’t worry, we are here to teach you the important fundamentals of data analytics step by step in a layman’s term.

Now, it’s your big chance to participate in our upcoming trainings which focuses more on teaching young professionals like you.

 

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

Come and Join Us!

Data Analytics 3.0

February 20 – 22 | 9:00am to 5:00pm

For inquiries: info@sonicanalytics.com | marketing@sonicanalytics.com

|  (02) 959 – 8017 | 0917-799-2827

 

Register Now!

DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

 

LEARNING SESSION OBJECTIVES:

  1. Apply cutting edge technologies to organize, interpret, and summarize Big Data in your business.
  2. Create a process to analyze data and identify patterns not apparent at first glance
  3. Understand the components of The Data Value Chain: Ingestion, Storage, 
Transformation, Analysis – and how they are all important to deriving value from data.
  4. Learn database manipulation and processing basics using the Structured Query Language 
(SQL)
  5. Connect a data analysis tool such as MS Excel or Tableau to a database to be able to 
perform analysis on processed and stored data

 

IN THIS SESSION, YOUR ORGANIZATION WILL BE ABLE TO USE:

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
  • Critical marketing steps of orientation necessary before engaging tools and technology
  • How to simply and quickly amplify decision making by separating the signal from the 
noise
  • A framework for asking the right questions, allowing the ability to link analytics to 
business strategy

 

IN THIS SESSION, YOUR PARTICIPANTS WILL BE ABLE TO:

  • Learn the best practices for organizing, summarizing, and interpreting quantitative data
  • Create a repeatable process for analyzing your data
  • Shorten the time between analysis and action to avoid “analysis paralysis”
  • Know how to get from hard data to well-reasoned conclusions

 

WHO SHOULD ATTEND:

  • Business Analysts, Data Analysts and other Analytics Professionals
  • Business professionals who are involved in day-to-day analysis of data.
  • Data analysts who are already performing analysis using spreadsheets but struggle with manual data processing.
  • Managers of analysts or staff who spend a significant amount of their time collecting analyzing and reporting data.
  • IT and Development Staff that work closely with business leaders and decision-makers.

 

Continue reading “DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018”

April 18 – Ortigas – Industry-Academe

Industry – Academe Data Science and Analytics Conference 2018

April 18, 2018
University of Asia and Pacific, Pearl Drive, Ortigas Center, Pasig City

The Analytics Association of the Philippines in partnership with DMAIPH and UA&P is proud to present the Industry – Academe Data Science and Analytics Conference 2018.

With the theme “Bridging the Industry-Academe Analytics Gap through the APEC Data Science and Analytics Competencies”, the conference aims to help academic institutions craft and deliver Analytics programs that are relevant, applied and experience-building for the students and to help the industry gain access to graduates ready for analytics jobs.

One of the highlights of the event is the dialogue between the industry and the academe where we will work to bridge the gap between the current syllabi and the Recommended APEC Data Science and Analytics Competencies developed through Project DARE (Data Analytics Raising Employment), an initiative led by the United States Department of Labor under APEC’s Human Resources Development Working Group and endorsed by the APEC Business Advisory Council.

Why Focus on APEC’s Data Science and Analytics Competencies?

Jobs requiring a familiarity with data analysis are forecasted to dramatically rise, resulting in a massive shortage of qualified employees. According to reports, some economies face a shortage of up to 1.5 million data analytics-enabled managers and analysts, costing billions of dollars in lost revenue annually. There is an urgent need to ensure that the future workforce is equipped with data analytics competencies to secure the jobs of tomorrow and move with ease in the labor market.

This is where Project DARE comes in. Project DARE aims to facilitate development of a data analytics-enabled workforce across the APEC region to effectively support sustainable economic growth and prosperity in the Asia-Pacific region. To do so, Project DARE developed a set of Recommended APEC Data Analytics Competencies which will be a resource to academic institutions and governments to align curricula, courses and programs so APEC economies are equipped to educate its workforce with the data analytics skills needed by employers in a data-driven future.

How was the Recommended Data Analytics Competencies Developed?

The Recommended APEC Data Analytics Competencies was developed through a public-private partnership with input from over 40 Advisory Group members comprised of distinguished business and higher education leaders who oversee data science and analytics needs for their organization and data science inter-disciplinary initiatives and curriculum. The Advisory Group was led by the private sector partner co- chairs, global skills and knowledge company Wiley and the Business Higher Education Forum (BHEF), with technical support by the EDISON (Education for Data Intensive Science to Open New Science Frontiers) Project. AAP’s Founding Members, Mr. Karlo Panti, Dr. Breda Quismorio, Mr. Sherwin Pelayo, Mr. Dan Meyer and Dr. Eugene Rex Jalao.

 

DMAI - Logo_ver2-02-01

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Asia Pacific Economic Cooperation’s Project DARE initative, DMAIPH champions the use of using data. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in data science and analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.