DMAIPH and Sonic Analytics is looking for a Marketing Analyst/Administrative Assistant

http://www.sonicanalytics.com/

Sonic Analytics is an analytics-centric consulting, outsourcing and training company with teams in the United States and the Philippines. We specialize in corporate analytics consulting, public analytics training and small and medium business analytics outsourcing. We maintain an office in Ortigas, Pasig City.

We are seeking an Administrative Assistant, which is a full-time entry-level business operations position. The position is predominately office based, working out of our Oritgas location. We are looking for a flexible, hard-working and analytics minded individual to take on the following tasks:

  • Prepare Monthly Ledger
  • Meet with book keeper for tax reporting once a month
  • Safe keep Permits, Government Certificates, Receipts and other business documents if needed
  • Update expense and income trackers
  • Act as a POC for any analytics seminar/service related inquiries
  • Provide guidance to interns/OJT
  • Help develop an effective marketing campaign
  • Attend events on behalf of Sonic Analytics
  • Assist with setting-up public and in-house seminars
  • Assist with Payroll

Successful candidates need to meet the following requirements:

  • Previous work experience working in an office environment and/or customer service.
  • Familiar with MS Office, particularly MS Excel.
  • Basic understanding of business analytics and using data to solve problems.
  • Strong internet research skills and knowledge of social media.
  • Strong communication and organizational skills
  • Self-motivated and a willingness to learn
  • Above average written and conversational English.
  • A bank account with BPI or the ability to open a bank account

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Basic compensation: Base monthly salary is P12,000.

  • – Up to P2,500 in tax-free allowances.
  • – 5-10% performance bonus upon normalization.
  • – Complete 40 hours of work. This is a full-time job commitment.
  • – Regular Hours are 9:30am-6pm, Monday to Friday.
  • – Annual performance evaluation and compensation increases.
  • – Standard employee benefits as mandated by Philippine law.

Interested candidates should send their most recent resume to jen.ifer@sonicanalytics.com for consideration.

Analytics Jobs – Sonic Analytics in partnership with DMAIPH; hires, refers and connects Filipino analytics talent. The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Working with DMAIPH to find work, hire analytics talent or set up analytics teams will ensure you are tapped into the best of the best when it comes to analytics in the Philippines. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how to take advantage of this booming opportunity.

DMAI Data Science > Where Dreams and Demand Meet

Building a data science team tasked with helping other organizations build data science teams is equal parts dream and demand.

There is a quickly growing need for data science capabilities in the Philippines, but there are few ways for Filipinos to learn how to be data scientists. Almost over night it seems that people are posting job requirements for high powered analytics talent with very little idea of what data science is all about.

Business analytics is just now taking root in academia and being offered as a series of elective classes. Big data is just one class. Predictive and prescriptive analytics are also just one 3-5 month class. Its just not enough.

The big companies who are committed to building their own team are scrambling to find talent in the already hyper competitive BPO industry.

That’s the demand.

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Data science as a discipline is still quite new. In the U.S. and India you are starting to see a significant number of degree programs in analytics and data science. I learned a lot about data science before it even had a name. Analytics is deeply rooted at Wells Fargo and I benefited from being in the right place at the right time to get exposed to some pretty awesome analytics efforts.

This experience unlocked an opportunity to become one of top analytic minds in my adopted home, the Philippines. The opportunity of a life time really. Now I am at a point in the evolution of my business, DMAI, where I need to find 3 people like me to join me in my quest. My quest to help organizations in the Philippines set up data science teams.

I need a dream team. Like the Eath’s Mightiest Heroes the Avengers or the NBA Champion Golden State Warriors. the DMAI Data Science Team needs the best of the best who excel in complimenting each other.

We need a big data analyst strong man in the paint, we need a visionary data modeling expert who can create great data models and pass them off to the shooter of the team, the business analyst.

That’s the dream!

It’s time to join the right and be at the forefront of spreading data science across this great island nation so full of potential.

If you feel the call that I feel and are interested then connect with me on LinkedIn and/or send me you resume at danmeyer@dmaiph.com ,

What Is Data Science and Who are Data Scientists?

Per Wikipedia, Data Science is the extraction of knowledge from large volumes of data that are structured or unstructured, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining (KDD).

Does anyone know  a “data scientist”? Data scientists work with large data sets, analysis models, and technological solutions to help businesses drive more data-driven decisions. This is known as data science. Data scientists should have these six skill sets:

Tech Skills

  • Programmer
  • Statistician
  • Domain SME

People Skills

  • Artist
  • Client Facing
  • Communicator

As you can imagine, it is very difficult to find people who have expertise in all 6 skills sets.

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The unique blend of skills required for a role on a data science team is being debated and almost everyone around the globe who is associated with Big Data, Analytics and Visualization has opinion on this topic.

DMAI has determined that the best lineup for our clients in the Philippines is a veteran business analyast, a big data analyst and a data modeling expert.

Ask me how you can get a data science team set up in your business.

More Reasons To Stay Then Reasons To Go

One of the downs in the up and down cycle of running a business is when people leave.

Employee retention is something all companies have to worry about. But few really try and do something about it.

I read a lot about why employees stick and why they leave.

I know that to stick they need to have basic needs met like a good salary, feeling valued, being appreciated and having a safe and comfortable place to work.

Work-life balance, a supportive leadership team and feeling productive are all important as well.

Here are my  Top Reasons To Stick with DMAI

  1. Work Life Balance
  2. Opportunity For Growth
  3. A Stable Client
  4. 80% E-mail – 20% Phones
  5. Exposure to Analytics
  6. Open-Minded and Supportive Leadership
  7. Competitive Compensation
  8. Working With Good People
  9. Being Valued by the Company
  10. Being Appreciated for the Work You Do

I am sure each of my team has their own top ten reasons for themselves.

It is almost always easier to fix whatever you don’t like about your current job then it is to leave and hope you can find something better.

Sticking with a job long term is not easy and its becoming less and less the norm, which makes it all the more special when you find the right spot for you.

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Upping Our Game When It Comes To Retention!

I have been putting a lot of thought into DMAI’s team member retention efforts lately. I came across a few articles on one of the HR blogs I follow, http://www.hrinasia.com

“Talent retention is part of the bigger ecosystem of talent management. To solve the challenge of talent management, it takes more than a one-sided solution, but a holistic approach. Hopefully, employers are enlightened to see the bigger picture, and realize the first step to solving talent management challenges begins with themselves.”

Here are some of the high points:

  1. You get three lifelines. Employee engagement, culture, and leadership are lifeline issues. The separation between healthy and successful companies and unhealthy and failing companies always come down to these lifeline issues.
  2. It’s A New World for HR. Human Resources as a function is at a crossroads and must reinvent itself. Technology has forever changed the way we recruit, hire, train, retain and reward our people.
  3. Data Doesn’t Lie. Data is now integral to all decisions HR must make. I can talk all day about the value of analytics in an organization.
  4. Brand Matters. Employees showing the strong link between good company image and talent retention – the better the company image and reputation, the more likely talent is retained.
  5. Remote workers are often happier and more productive. The benefits of having a remote team to the business healthy growth of a company cannot be underestimated. In fact, in majority of cases the advantages outweigh the disadvantages especially when it comes to engagement.

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With this in mind, we conducted a recent survey and found the feeling Valued and Appreciated were more important to more DMAI team members then being Paid Well.

This is not news to me, but it does validate what I thought to be true. We have a lot of work to do to up our game when it comes to retaining our people.

Adding Value

One of the keys to my success is that I make sure to add value to what ever it is I am doing.

As an analyst, putting in a little extra time to make sure I had the right data to answer questions. In addition, I’d not just answer the question, I’d get into the head of the person who wanted my analysis and think about what new questions they might have and answer them too. I’d always be one step ahead and that added a lot of value to the business.

As a manager, I always look at each team member in terms of how much and what kind of value can they add to the business both now and long term. In each of my interactions, even the “negatives” can be used to add value long term to that persons career development as well as to the business.

As a businessman, I look at what we can do to add value to the life and well beings of our customers. What kind of training or analysis work can we provide to help them be more successful and add value in what ever it is they do.

Adding value is something that is not just a catch phrase or a motto… its something deeply ingrained in who I am as a person and what my company DMAIPH stands for.

Adding value is not just about customer service, integrity, professionalism or things like that… to me its about doing the making the world a better place one interaction at a time.

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So ask yourself… what adds value to your work, to your life and what do you do that adds value to someone else’s work or life. It the answer is not immediately obvious, then you are doing something wrong.

General Analytics – Analytics is the application of using data and analysis to discover patterns in data. DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals.

Analytics Leadership – DMAIPH is a founding member of the Analytics Council of the Philippines and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization.

Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

What Does A Business Analyst Actually Do?

For the sake of the CHED course on business analytics, lets look a little more closely at business analysts.

The International Institute of Business Analysis (IIBA) describes the role as “a liaison among stakeholders in order to understand the structure, policies, and operations of an organization, and to recommend solutions that enable the organization to achieve its goals.”

With that in mind, the next question often asked is, “What does a business analyst do?”

This is a reasonable question, because the fact is a business analyst is not limited to doing one thing. He or she wears multiple hats. He or she will be skilled in communication, negotiation, listening, and will also need to be a good team leader. They have to be good at solving problems. This means he or she will have the skills necessary to look at data and other relevant information in order to determine where the losses are within a company. They also have to understand the technology used to capture, store and analyze the data used in their company. It takes a lot to be a good business analyst.

This is where things like deep thinking and curiosity really separate good analysts from great analysts. Of the many  essential skills a business analyst will utilize here are my top 3:

(1) – Know the data. They will compare the past facts and figures to the current numbers, this will give the analyst the information to deduce or predict failure within the company.

(2) – Know the business – A business analyst is always an objective listener. They will determine the needs that management want by speaking to shareholders. This requires the analyst to ask questions, to find out what is needed, which will more than likely lead to new discoveries that may have been overlooked previously.

(3) – Know the players – Within a business there are usually different departments. A Business analyst will seek to associate and involve them-self with the various departments. This will help them identify conflicts within the various departments, which can be used to bring departments together.

As you can see it takes a lot to be a business analyst. BAs are truly a rare breed of technology loving people, who can solve problems and work well with others.

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Finding Data For A Case Study In Outsourcing

Taking a business projects I did a few years ago and turning it in to a case study exercise for a group of students.

Project Goal – To determine the viability of outsourcing 3-5 engineering jobs (Project Engineer and Draftsman) from the home office in Rotterdam to the rep office in the Philippines.

Current Situation – There is currently a rep office in Makati that has the space to add at least 3-5 engineering jobs. This study will determine if outsourcing these positions will result in cost savings as well as add value to the overall company operations.

This study will provide answers to three questions:

Is Makati an viable outsourcing solution?

What is the average salary for talent in Makati?

Is anyone else outsourcing along similar lines?

Recommendations – We recommend the following actions to ensure the overall success of an outsourcing transition.

  1. Conduct a thorough cost-benefit analysis comparing current and future salaries and benefits of staff in Rotterdam and Manila.
  2. Post a job listing to see what kind of candidates apply and screen them as future hires.
  3. Market to OFWs as they return from aboard as they are the most likely pool of experienced candidates.
  4. Contract a local Subject Matter Expert who can be hired as the Team Lead who can take the lead in filling out the staff.

Analytics Outsourcing – DMAIPH has successful set up Filipino analytics teams for over a dozen U.S. based businesses. Offering both virtual and office based teams that specialize in problem solving using data, new technology and analytics techniques is our strength. Finding and empowering analytics talent is increasingly challenging, but we have it down to a science. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about how to set up an analytics-centric team in the Philippines.

Preparing For Your Interview… Here Are Some Things To Consider

https://www.linkedin.com/pulse/recruitment-interview-skills-awareness-survey-results-preater

Came across this interesting article that seems to tie into something we have found to be true. Most candidates fail the interview because they are classified as either unprepared and/or nervous.

“There are many things that can let a candidate down on the day and the most common cause, as stated many, many times, is lack of preparation. Listening skills, asking interesting questions and being negative about a former or current employer were also popular subjects raised over and over.”

Preparation can cover quite a range of activities:

  • Personal Appearance
  • Punctuality
  • Company Knowledge
  • Relating ones skills to the job
  • Knowledge of the job

Personal Appearance has become so downplayed in recent years, especially in the call center industry where candidates rarely even get to a level of business casual. When someone does dress up, it really stands out. It’s a real competitive advantage that few take advantage of. Plus its simple psychology… when you dress up you act up and when you dress down you play down.

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Punctuality is another old school interview skill that seems to have gone by the wayside and has a devastating impact on candidates. So often little merit is placed on being on time, which means the candidate is rushing once they realize they will not make the appointed time. Then they are frazzled and not in a calm state when they interview. Plus the interviewer is perturbed. Never a good way to get the ball rolling in your favor.

This is a no brainer, but still in this day and age of easy to access knowledge, more than half the candidates who come across my desk have not studied up on the company. It shows such total lack of respect it’s a 100% guarantee of interview failure. And for the candidates it usually means the first of many empty answers.

Relating ones skills is something you think most candidates would be doing when they read the job posting. But often I find they just read what they wanted to read and not what was actually there. So there is a big mismatch between candidate and employer expectations. Never a good way to show you are prepared for the interview, lets alone worthy of being trusted with a job.

Knowledge of the job is often another issue and here in BPO land, the biggest one I see if people who want to work in a call center, but really don’t enjoy speaking English. See my previous blog for my thoughts on this one.

So, one of the things we are doing in our training classes is coaching candidates on how to be successful interviewees. If nothing else, at least they are given insights into how to pass the interview, something that 90% of our initial applicants are failing to do.

5 Strategies For Recruiting Analytics Talent

http://data-informed.com/5-strategies-recruiting-training-decision-science-talent

Came across the above mentioned article. It starts, “A career in decision sciences/analytics continues to be one of the sexiest jobs of the 21st century, but the supply of analytics talent threatens to limit the promise of decision sciences.

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A report by McKinsey and Company estimates a shortfall of 140,000 to 190,000 data scientists and 1.5 million managers who have the skills needed to use the insights to drive decisions. And Gartner predicts that by 2015, big data will create 4.4 million jobs globally.

Data scientists are in short supply, but the dearth of decision scientists – the rare breed that combines the interdisciplinary prowess of math, business, technology, behavioral sciences, and design thinking – is even more alarming. For this reason, there needs to be an increased emphasis on recruiting and training as opposed to relying on acquisition.” The writer then listed his 5 strategies for recruiting analytics talent.

I have a few variations on his top 5, here they are:
1. Destroy the Top Talent Only Comes From Top Schools Myth
2. Test For Curiosity and a Learning Mind Set
3. Appreciate an Inter-Disciplinary Perspective
4. Teach the Art of Asking Questions
5. Be Both Big Picture and Tiny Detail Kinds of Analysts

So basically what it boils down too, is that business don’t just need high-end, well-educated data scientists, they need lots of people who think like analysts.

That’s what I specialize in, I take people who are curious, regardless of their background and I train them to unleash their curiosity and empower then to use data to make decisions.

Hiring a data scientist is not really an option for most companies I work with, but hiring one of my trainees to work in their office or online for their business is a very good option.