The data and insights category is one with some of the most in-demand marketing jobs. If you’re looking to grow your skills as a Data Analyst or are trying to pivot into data analytics or data science, now is the time. And 24 Seven is here to help ensure you’ve got the tools to do so. Whether it be the skills needed to succeed, questions you’ll be asked in your interview, or programs you should pay special attention to, we’re covering everything you need to know to land your next data-driven job.
An Overview of Data Analytics Jobs
As a Data Analyst, you will be responsible for working cross-functionally with researchers, engineers, and business teams to conduct analysis, build models, and create simple storylines out of complex information to drive business goals. While specific duties will vary based on industry and skill level, the role of the Data Analyst often includes coding, organizing. and distributing data; transforming number-based results into digestible information, and building and automating data pipelines for project-based needs.
How Do Companies Utilize Data Analytics to Drive Business Results?
Data analytics roles are crucial marketing jobs fundamental to business strategy. Companies utilize data analytics to assess marketing performance, tracking metrics, and conversions. Additionally, data analytics can be used to help illustrate hard to grasp trends in the business numbers, enabling company leaders to make clear and conclusive data-grounded decisions. Often times, the Data Analyst will work hand-in-hand with information technology architects and engineers to better understand and transcribe available data, ultimately helping businesses shape better informed strategies.
What Languages and Platforms Are Trending in the Data Analytics Space?
What Hard and Soft Skills Make a Strong Data Analyst?
Hard and soft skills are essential to any job and having very specific ones will help you stand out among other applicants, plus will keep you one step ahead once you’ve landed your next Data Analyst job. The hard skills you’ll want to have as a Data Analyst include:
Understanding of data structure and data types
Understanding of pipelines and how data flows
General Statistics knowledge and comfortability (ex: population vs sample)
Having adequate soft skills will also help you excel as a Data Analyst, and will give you the edge in your next data analytics job search. In a technical role like this, being able to communicate effectively while understanding colleagues is key. Other essential soft skills you’ll want to embody as a Data Analyst include:
The capability to sole ambiguous problems
Flexibility to work with technical and non-technical team members
Being assertive and vocal about data-driven opinions
Being personable, not a data robot
Empathy and patience for those not in data-based roles
How Can Someone Pivot Into a Data Analytics Job?
If you’re looking to pivot into marketing jobs within the data analytics space, you’re not alone! Whether you’ve got some of the required skills to begin applying for data analytics jobs or none at all, we recommend taking online courses specific to data analytics and data science (depending on which of these you'd like to focus on). Additionally, obtaining certificates, completing projects in your free time, utilizing your network (and outside of it), and checking out sites like Kaggle.com can all be extremely beneficial to your overall success.
While familiarizing yourself with the data analytics space, you’ll also want to do things like practice having analytic/data-based conversations with friends, peers, and collogues to make yourself more comfortable with potential topics covered and to gather a more well-rounded understanding of questions and topics that may arise in an interview. These conversations will also help you develop data-backed examples and allow you to better grasp overarching industry trends and topics.
Questions You May Be Asked in Your next Data Analytics Interview
As you begin the interview process for your next marketing job as a Data Analyst, you’ll want to prepare for both technical and non-technical questions that might arise. It is highly likely the interviewer will ask a combination of the two to better assess you as a potential hire.
Technical questions you may be asked include:
Show us how you would solve a data problem using (x) function
What data structures would you want for a given product?
How would you utilize A/B testing for statistical significance?
Syntax related questions for any given language (ex: SQL & Python)
Non-technical questions you should prepare for include:
Tell me about a time you’ve had an ambiguous data ask?
Tell me about a time you’ve had to present a difficult data problem to a non-technical audience?
Why do you want to pursue a career in data analytics?
What metrics would you want to track if we were launching a new product?
As the data analytics field continues to gain traction and popularity among job seekers and hiring managers alike, continuing to upskill and reskill will be key to your success! If you’re looking to find your next Data Analyst role, explore our open jobs here! Want additional insights on how to build your career? Click here.