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Data Analyst Job Ad Template

Spot the difference

Creating high-quality job ad templates can be time-consuming and confusing, but is super important if you want to attract the right talent. So, what is a Data Analyst and what do they do? How is it different from what a Full Stack Developer does? And, what separates a Back End Developer and Front End Developer?

To put it simply, a Data Analyst will collect and review data to help a company make informed decisions. A Full Stack Developer helps to write code for the user-facing and non-user facing website. A Front End Developer works exclusively on the user-facing part of a site or software, whereas a Back End Developer will only work on parts a user doesn’t see.

  • Data Analysts are extremely valuable members of a development team. Their duties include setting up systems to collect and store data, which they then analyse to help a business make more informed decisions.
  • A Full Stack Developer is a highly skilled coder and developer who has the coding language expertise to work on the user-facing and non-user facing side of a software or site. They often lead communication between design and programming teams, thanks to their knowledge of front and back end technologies.
  • Back End Developers are experienced coding experts, fluent in languages such as Python and PHP among others. They work ‘behind the scenes' to ensure a website or software functions to its full potential.
  • Front End Developers are experts when it comes to Java, CSS and HTML and use these languages to ensure the consumer-facing side of a software or site looks and performs the way it is intended to.


Job Ad Template

  • Be clear in your description. Know the tasks of the role and ideally who the candidate should be.
  • This means you won’t need to read through too many CVs to find your superstar.
  • You might be tempted to use bullet points in this section, but resist the urge! Tell a story, show off all the cool things they would be responsible for, and get them excited to apply.
  • You should be more focused on your company culture and what your mission is, instead of their daily tasks.

About the role

Does collecting big data sets and analysing these to make business-altering decisions sound like your dream job? If so, we want to hear from you at {Company Name}!

We’re searching for an experienced Data Analyst who thrives when diving into the details of our data sets and using this information to produce reports for C-Level executives, create solid action plans for our growth and help predict upcoming industry trends. You’ll be working closely with our team of developers, data scientists and board of executives to plan growth plans for upcoming seasons.

You’ll also be responsible for assessing the quality of our collected data and removing any low-quality or corrupt sets, so attention to detail is a must!
Du hegst eine Liebe fürs Detail und eine Leidenschaft für die hohe Qualität von Datensätzen? Das Sammeln und Analysieren großer Datenmengen zur Herbeiführung Geschäfts-verändernder Entscheidungen klingt wie deinem Traumjob? Dann möchten wir bei {Name des Unternehmens} dich kennenlernen!

Wir sind auf der Suche nach einem erfahrenen Data Analyst, der gerne in die Details unserer Datensätze eintaucht und diese Informationen nutzt, um Berichte für Führungskräfte zu erstellen, solide Aktionspläne für unser Wachstum zu entwickeln und kommende Branchentrends vorherzusagen. In enger Zusammenarbeit mit unserem Team von Entwicklern, Data Scientists und Führungskräften entwickelst du Wachstumspläne für die kommenden Saisons. Bewirb dich jetzt und werde ein wichtiger Teil unserer Erfolgsgeschichte!
  • This section is all about your candidate's experience and responsibilities. You should outline very clearly what they should expect from the job role, not from the company itself. 
  • You should use language that speaks to the candidate directly, use of “you”, “we” and “our” are all positives. 
  • Hard skills in this section are important, but don’t overlook the significance of soft skills, like communication and being a team player, these can make a huge difference to the way people work alongside each other and gel professionally. 
  • What do you believe in, and what are your core values?

Responsibilities

When writing your Data Analyst’s job description, keep in mind that the following points are just template responsibilities and may not fully align with what your Data Analyst will do! Be sure to edit these points to match your role fully.

• Reviewing the quality of existing data sets within the business.
• Removing any corrupt data from our systems.
• Helping to repair any coding areas that could damage data.
• Assisting with the set-up of tools to collect data from different sources.
• Analysing data to identify and predict trends that can be used for business growth.
• Using data to create reports for the board.
• Commissioning and decommissioning relevant big data sets from relevant sources.
• Creating and revising ways to use data to monitor business performance over long-term timeframes.
Denken Sie beim Schreiben der Stellenanzeige für Ihren Datenanalysten daran, dass die folgenden Punkte nur eine Vorlage für die Zuständigkeiten sind und möglicherweise nicht vollständig mit den Aufgaben Ihres künftigen Data Analyst übereinstimmen! Achten Sie darauf, diese Punkte so zu bearbeiten, dass sie seiner Rolle vollständig entsprechen.

• Du überprüfst die Qualität der bestehenden Datensätze innerhalb des Unternehmens.
• Du bereinigst alle beschädigten Daten aus unseren Systemen.
• Du unterstützt uns bei der Reparatur von Code-Umgebungen, die Daten beschädigen könnten.
• Du bringst dein Know-How bei der Einrichtung von Instrumenten zur Sammlung von Daten aus verschiedenen Quellen ein.
• Du analysierst Daten, um Trends zu erkennen und vorherzusagen, die für das Unternehmenswachstum genutzt werden können.
• Du erstellst datenbasierte Berichten für den Vorstand.
• Du erhebst, verarbeitest und verwaltest Big Data Sets aus relevanten Quellen.
• Du verantwortest die Entwicklung und Überarbeitung von Methoden zur Nutzung der Daten zur Überwachung der Unternehmensleistung über langfristige Zeiträume.
  • This section is essential to finding the candidate with the skills and qualifications that will help them in their job role.
  • This should be clear and concise and set boundaries for submissions.
  • The more information you add to your skills section, the less candidates you’ll have to sift through to find the right one.
  • This would waste both your time and the potential candidate so avoid being wordy as much as possible. Think about what would be an essential part of this role, and what would the applicant need to be successful in the job?

Requirements

Remember, these are just examples of Data Analyst skills and qualifications, be sure to edit these points before writing the Data Analyst job description for your company.

• Degree or similar qualifications in computer science or other relevant fields.
• Proven experience in working with data analytics.
• Ability to handle and decipher meaning from large data sets.
• Skilled written and verbal communication skills.
• Experience with turning data into valuable insights that can be used in reporting.
• Ability to advise on data-led decisions.
• Strong knowledge of data visualisation software.
• A good knowledge of Python, among other programming languages.
• Great initiative and problem-solving skills.
• Ability to work independently and as part of a team.
Denken Sie daran, dass dies nur Beispiele für die Fähigkeiten und Qualifikationen von Datenanalysten sind. Bearbeiten Sie diese Punkte, bevor Sie die Stellenanzeige eines Data Analyst für Ihr Unternehmen veröffentlichen.

• Du bringst einen Hochschulabschluss, eine vergleichbare Qualifikation in Informatik oder einem ähnlich gelagerten Bereich mit.
• Du kannst Erfahrung in der Arbeit mit Datenanalysen nachweisen.
• Du bist in der Lage, mit großen Datenmengen umzugehen und deren Bedeutung zu entschlüsseln.
• Du besitzt gute schriftliche und mündliche Kommunikationsfähigkeiten.
• Du hast Erfahrung mit der Umwandlung von Daten in wertvolle Erkenntnisse, die für die Berichterstattung genutzt werden können.
• Du besitzt die Kompetenz zur Beratung rund um datengestützte Entscheidungen.
• Du bringst fundierte Kenntnisse verschiedener Datenvisualisierungssoftwares mit.
• Du verfügst über gute Kenntnisse in Python und anderen Programmiersprachen.
• Du zeigst viel Eigeninitiative und hast gute Problemlösungsfähigkeiten.
• Du kannst sowohl selbstständig als auch im Team arbeiten.

Need inspiration?

Your job description will not attract talent all on its own. So when putting together your job post, be sure to show what it's like working at your company not just textually but visually!

  • Remember, attracting a candidate is just as much about your company culture as the job role itself. Make sure to include points that make you seem desirable too!
  • Add photos that show off your office space, team events and your team having a great time.
  • Maybe you could include a video of some team members explaining why they love coming to work, or why they like their role.
  • Include a grid of attractive perks with some nice illustrations. Maybe you have unlimited holidays, or you have an attractive parental leave cover - show off!
  • Why not embed your company's Instagram feed to give a IRL overview of the day-to-day.

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