Get the most out of interviewing candidates

Newsletter

We appreciate that an interview gives you the opportunity to rate a shortlist of candidates against one another but consider this – in a candidate driven market you often need to sell your organization too. Its becoming more important in Data and Analytics recruitment to create an engaging and professional experience for candidates to ensure your organization passes their interview too!

So what is the best way to get the most from your interviews in a candidate driven marketplace?



Have a consistent set of benchmarks


Use the right type of questions

Consider the STAR technique

Be considerate with your timing

Sell the vacancy!



Have a consistent set of benchmarks

Use objective measures and work to a set interview format – this will ensure that whoever conducts the interview, the information obtained will be consistent

Develop a set of questions that are asked in each interview, Competency Based Interviewing is commonplace nowadays. This method gives structure to an interview which benefits both you and the candidate.

Try to keep the number of interviews per candidate to a minimum. Only in special circumstances should you add additional interviews into a particular candidates recruitment process – but avoid this wherever possible.

Use the right type of questions

Use questions that will delve into an individual’s ability to do the role, not information that could wrongly influence your decision. Using competency based questioning helps to avoid subjective views having an impact on your decision. Have a scoring sheet to mark candidates against the key attributes that are important to the specific role and business will help.

  1. Consider how they match up against your company values

  2. Do they have experience of working on similar or transferable projects?

  3. Do they have the required level of SAS or SQL for this role?

Consider the STAR technique

Another type of interview technique is STAR (Situation, Task, Action, Result) which again ensures you obtain all the relevant information about a specific capability that the role requires.  As well as giving structure to the interview, which is good for the candidate, this format is said to give a good insight into future on-the-job performance, for example:

  • Situation:  Candidate is asked to give an example of a recent work challenge/objective set.

  • Task:  What did they have to achieve?

  • Action:  What did they do to achieve the objective?

  • Results:  What was the outcome and did they meet the objectives?

If the candidate is being interviewed by other people in the organization, arrange to review all feedback once all the interviews have taken place, this way you are not influenced by other people’s opinions before you meet the candidate. And ensure that the candidate is not kept waiting between interviews – have someone co-ordinating the meetings to ensure everyone keeps to their allotted time.

Ensure your questions are clear and not double ended. Ask one question at a time and wait until you have received a satisfactory answer. Don’t over complicate the interview by asking 2 questions at once or asking ambiguous questions.

If competency based interview or STAR techniques don’t give you the level of information you want, consider including a test of some type, in addition to a formal interview. If this is your preferred method – you must let the candidate know they will be expected to sit a test, if so then they can prepare properly.  Its worth considering however, that introducing too many stages can lead you to miss out on good candidates in a candidate driven market.

Be considerate with your timing

If you know early on in the interview that the candidate is not suitable, they should still be given a fair interview. Don’t cut the interview short after 10 minutes s if you decide they aren’t the one – remember the candidate experience! The Analytics market is a small world and you don’t want the candidate telling their colleagues and industry contacts about what a bad experience they’ve had.

At the other end of the scale, if an interview is likely to be long, let the candidate know this in advance. Giving an approximate interview time of 1-2 hours is better than saying an 1 hour and have it run over. Manage their expectations as they may then be under pressure to get back to work, which could affect their concentration and how well they present themselves in the interview.

Sell the vacancy!

And lastly, if you like a particular candidate, then sell the vacancy to them while you have a captive audience!  Give them ample chance to ask questions and really focus on promoting the role and company, maybe even give them a quick tour of the business. Above all, let them know that you are an employer that is genuinely passionate about this opportunity. Remember, they are likely to be speaking to other companies who are doing just that, so don’t let your business go unnoticed!



<< By Kat Heague >>

<< Click here for more useful tips >>


 

Latest Jobs

Salary

Negotiable

Location

New York

Description

Do you have progressive commercial experience managing analytics teams at eCommerce companies? Are you well-versed in BI tools as well as Python and/or R?

Salary

US$240000 - US$290000 per annum

Location

San Francisco, California

Description

This position is perfect for someone who wants to work in the autonomous vehicle space with a fast-growing and high-tech company. Apply today!

Salary

US$155000 - US$170000 per annum + + Bonus

Location

Philadelphia, Pennsylvania

Description

If you are interested in working at a globally leading company working alongside incredible minds then this is the role for you.

Salary

US$70000 - US$90000 per annum

Location

New York

Description

Looking for a creative work environment? We have one of the world's fastest growing Marketing and Media providers looking to continue expanding their teams!

Salary

US$170000 - US$190000 per annum + equity, benefits

Location

New York

Description

A high-growth SaaS start-up is looking for an experienced end-to-end machine learning engineer with a strong software background to lead a team of engineers

Salary

£40000 - £55000 per annum + Additional Benefits

Location

London

Description

Join a growing unicorn tech start up that is revolutionising the way the healthcare world works.

Salary

£55000 - £75000 per annum + Additional Benefits

Location

London

Description

Join one of the largest retailers in the UK giving you the chance to work across the most sought after tools in data science!

Salary

£55000 - £75000 per annum + Additional Benefits

Location

London

Description

Revolutionise the healthcare world, streamlining healthcare and making it accessible for everyone around the world!

Salary

US$160000 - US$175000 per annum

Location

Washington, District of Columbia

Description

Check out this Lead Scientist role where you'd get to lead projects for autonomous systems being used by the government.

Salary

US$120000 - US$150000 per annum

Location

Pittsburgh, Pennsylvania

Description

This Boston based start-up is gaining a ton of traction in the market

Salary

Negotiable

Location

New York

Description

Do you have broad expertise in Machine Learning Models & Algorithms? Have you built Media and/or Marketing Mix Models from scratch?

Salary

US$150000 - US$200000 per annum + Bonus, RSU, Full benefits

Location

Chicago, Illinois

Description

You will join a small team of Machine Learning/Deep Learning experts who are looking to transform technology

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Mental Health Apps Help Patients Make the Move into Therapy

May is Mental Health Awareness Month. As we continue to untangle ourselves from the cabin-fever isolation of the winter months post-pandemic, many are feeling overwhelmed and mentally burdened. It’s a lot to manage – remote working, virtual schooling, mask mandates, vaccine appointments, and the day-to-day screen time and Zoom meetings. It’s no wonder people are turning, once more to the virtual space for help.  From mindfulness and meditation apps and videos to physician-focused telehealth assistance in the health space, there is digital technology at play. While it may seem as if apps keep people from going to the source and seeking professional help in the mental health space, having an app is helping people make the decision to sit down one on one with someone.  Mind the App: A Note on Market Trends There is a proliferation of mindfulness meditation apps available on Google Play, iOS systems, and on YouTube, just to name a few. In fact, the market is set to grow exponentially over the next five to ten years. And technology companies have been paying attention. Key trends include: Design simplicity and collaboration with subject matter expertsEngagements both personal and professional which lower energy levels leading to disturbed sleep. While millennials search for a more whole (read: work/life) balanced life, it’s reported Generation Z is likely to have the worst mental health issues and desire to seek alternative therapy options.Apps-focused issues include insomnia, anxiety, depression, mindfulness, and whole being self-care.More and more Americans understand mindfulness and meditation are the best resources to help unwind and lessen stressors. Not all apps are created equal, but Headspace and Calm are two of the top contenders and most widely used. Those higher-level products backed by teams to ensure everything runs smoothly are outpacing the proliferation of self-help apps which number upwards of 20,000. Digital Technology and Machine Learning are Moving Things Forward From AI to Digital Technology to Machine Learning, Data professionals are working to ensure mental health apps are not a flash in the pan. Especially for those who may need help the most such as high utilizers. These high utilizers are those who may have multiple issues and check themselves into hospitals most frequently. Just like people worried about robots taking jobs, some therapists may worry these apps could replace in-person therapy treatments. This is unlikely as it may embolden those who need help to seek treatment in the more traditional sense. In fact, some apps could enhance therapy work rather than detract from it. Machine learning tools helped researchers analyze nearly 10,000 patients’ EHR Data over a 2-year period. The algorithm analyzed all the factors at once for a much more efficient breakdown and determination of each factor to best identify patient characteristics. Understanding this information helped researchers determine which factors lead to the disorders for higher utilization. Dangers and Predictions With nearly 20,000 mental health apps on the market, there are probably a fair number which aren’t as useful as they hope or claim to be. And some can be dangerous as was discovered in a 2015 study in which therapies for bipolar disorder were found to be inconsistent with established treatments (Nicholas, J., et al., Journal of Medical Internet Research, 2015). Not to mention ineffectual apps and those which disrupt treatments already in place and established. Mindfulness Apps at Work For happier, healthier workers not burned out from Zoom-fatigue and remote working, business leaders are focusing more and more on mental health. Some are offering mindfulness moments or group yoga classes or meditation opportunities throughout the day for a mental health break. Mental health discussions are now standard practice and efforts to open up more on this front through self-care prioritization and workplace wellness are making their mark. Employee mental health is top of mind as businesses and employees navigate the new normal when it comes to work, education, and the blurring of personal and professional lives as we continue remote practices.  What was once taboo and swept under the rug has been met with Digital Technology, Apps, AI, Machine Learning, and the door is open for discussion. Whether you take a mindfulness minute, write in a journal, meditate, or log in to your app remember mental health awareness is about self-care for the whole you. Need a mental health break? There’s an app for that. If you’re interested in Big Data and Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

How Computer Vision Can Modernize American Infrastructure

What if we could imagine a city in which there were no traffic bottlenecks or jams? What if we could sail through tolls and park using an app? Could high-speed rail replace cars as our main means of transport commuting to and from work? Would travel apps with our faces, government IDs, and medical records launch us past the long security lines at the airport?  We already use computers to help us navigate our destinations, buy plane or train tickets, and in some cities, park using only our location and a credit card. Already a part of our day-to-day for many, computer vision is moving us along at a rapid rate.  Smart cities are changing the way we move Computer Vision is being used in a variety of ways and is modernizing our transportation infrastructure for a start. Using advanced technology, computers are learning to ‘see and hear’ and make informed decisions much as humans might to make our world more efficient and safer.  Below are just a few places Computer Vision is already in play in our communities: Traffic patternsTraffic signals – connected cameras watch for pedestrians as they monitor traffic flow. These connected cameras also help to optimize flow and reduce congestion.Street lamps – imagine saving electricity by dimming street lamp switches then turning them back on if movement is detected.Tolls – camera captures of your license plate billed to where it's registered and EZ Pass lanes – one pass to move across highways without slowing, stopping, or having to handle cash or coin.GPS warnings – red for stopped traffic, yellow for slowed trafficParking apps - in cities with significant parking issues such as limited space. Imagine using a location-based service parsed into zones and your credit card to not only find a parking spot more easily, but to guarantee your car won’t be towed or mishandled.Clear ID - when traveling both domestically and internationallyHigh-speed rail - in some cities and talks under way for more. Commuter trains are moving beyond New York and Chicago to other cities such as Atlanta, Detroit, and Dallas just to name a few. These are just a few ways cities are being modernized for individuals. But what about on a grander scale? With the increase of online orders and demand for delivery in the last year or two, it’s estimated that over 1 million packages were delivered in New York each day. Extrapolate that to the other 49 states and the amount of traffic on the road that is strictly for deliveries soon overtakes that of individual commuters. Computer Vision is Solving for Delivery Congestion For many downtowns, parking can be a bear. Especially if you have a delivery van or truck. Where do you park to make your deliveries? Remember, you’re on a deadline. All. The. Time. What if a car is parked in your loading zone? What if there’s too much traffic to park? What had once plagued urban roadways was now a bone of contention to deliver products in a timely manner. On the more negative side of these frustrations, parking revenue was virtually eliminated as the larger companies absorbed the costs into their cost of doing business. No one was getting anywhere fast. Enter Computer Vision technology. Once the reason behind the problem was understood, cities could begin to plan for a solution. This technology could be used to help city planners understand curbside activity so they could tailor their plans based on their cities’ needs. With the proper data to make more informed decisions, cities can plan locations for passenger parking, ride-hailing lots, and delivery only zones to make more efficient use of people’s parking needs. Next Steps Toward a Modernized Infrastructure Curb management is just one of the options that America is working on to modernize its infrastructure. Making traffic patterns and flow more efficient is another. Imagine a plan in which pedestrians, drivers, cyclists, commuters, and delivery fleets can safely share the road while also investing in clean energy solutions. Adding in infrastructure plans to also help combat climate change makes it a win-win for everyone. If you’re interested in Big Data & Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Recently Viewed jobs