<prompt> Hlahisa poso ea mosebetsi bakeng sa mohlahlobi oa data.nan  <response>: Instruction in English: Generate a job posting for a data analyst. . Response in English: Data Analyst Job PostingWe are looking for a skilled Data Analyst to join our growing team. In this role, you will be responsible for collecting, analyzing, and interpreting large data sets to drive business decisions and strategic initiatives. The ideal candidate will have strong analytical skills, a deep understanding of data analysis tools and techniques, and the ability to communicate complex data insights to non-technical stakeholders.Responsibilities:- Collect and analyze large data sets to inform business decisions- Design, develop and maintain data-driven reports and dashboards- Develop and implement data analysis tools and techniques- Identify trends and patterns in data and provide actionable insights- Communicate complex data insights to non-technical stakeholders- Work collaboratively with cross-functional teamsRequirements:- Bachelors degree in Data Science, Math, Economics, or a related field- Strong analytical skills with the ability to collect, organize, and analyze large data sets- Proficiency in data analysis tools such as SQL, R, and Python- Experience with data visualization tools such as Tableau or Excel- Strong communication skills with the ability to present complex data insights to non-technical stakeholders- Ability to work independently and as part of a teamWe offer competitive compensation, comprehensive benefits, and a dynamic work environment. If you are a data-driven individual with a passion for using data to drive business decisions, we encourage you to apply for this exciting opportunity. . Response in Sesotho: Mosebetsi oa Mohlahlobi oa Lintlha Re batla Mohlahlobi oa Lintlha ea hloahloa ho kenela sehlopha sa rona se ntseng se hola. Karolong ena, o tla ba le boikarabello ba ho bokella, ho sekaseka le ho toloka lisebelisoa tse kholo tsa data ho tsamaisa liqeto tsa khoebo le maano a maano. Mokhethoa ea loketseng o tla ba le litsebo tse matla tsa ho sekaseka, kutloisiso e tebileng ea lisebelisoa le mahlale a tlhahlobo ea data, le bokhoni ba ho buisana ka lintlha tse rarahaneng tsa data ho ba amehang bao e seng ba theknoloji. Boikarabello: - Bokella le ho sekaseka lihlopha tse kholo tsa data ho tsebisa liqeto tsa khoebo - Rala, ntsetsapele le ho boloka litlaleho le li-dashboard tse tsamaellanang le data - Theha le ho kenya tsebetsong lisebelisoa le mekhoa ea tlhahlobo ea data - Lemoha mekhoa le lipaterone tsa data le ho fana ka lintlha tse ka sebelisoang - Hlalosa lintlha tse rarahaneng tsa data ho bankakarolo bao e seng ba thekenoloji - Sebetsa ka kopanelo le dihlopha tse fapaneng Ditlhokahalo: - Bachelors degree in Data Science, Math, Economics, kapa field e amanang le yona - Tsebo e matla ya ho sekaseka ka bokgoni ba ho bokella, ho hlophisa le ho sekaseka disete tse kgolo tsa data - Bokgoni ho lisebelisoa tsa tlhahlobo ea data joalo ka SQL, R, le Python - Boiphihlelo ka lisebelisoa tsa pono ea data joalo ka Tableau kapa Excel - Tsebo e matla ea puisano e nang le bokhoni ba ho hlahisa lintlha tse rarahaneng tsa data ho ba amehang bao e seng ba theknoloji - Bokhoni ba ho sebetsa ka boikemelo le karolo ea sehlopha. Re fana ka matšeliso a tlholisano, melemo e felletseng, le tikoloho ea mosebetsi e matla. Haeba u motho ea tsamaisoang ke data ea nang le tjantjello ea ho sebelisa data ho tsamaisa liqeto tsa khoebo, re u khothaletsa ho etsa kopo ea monyetla ona o monate. 